China Satellite Navigation Conference (CSNC 2024) Proceedings [[electronic resource] ] : Volume I / / edited by Changfeng Yang, Jun Xie |
Autore | Yang Changfeng |
Edizione | [1st ed. 2024.] |
Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024 |
Descrizione fisica | 1 online resource (569 pages) |
Disciplina | 621.382 |
Altri autori (Persone) | XieJun |
Collana | Lecture Notes in Electrical Engineering |
Soggetto topico |
Telecommunication
Signal processing Aerospace engineering Astronautics Control engineering Robotics Automation Geographic information systems Communications Engineering, Networks Signal, Speech and Image Processing Aerospace Technology and Astronautics Control, Robotics, Automation Geographical Information System |
ISBN | 981-9969-28-X |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Intro -- Editorial Board -- Preface -- Contents -- GNSS Applications -- UAV Dam Crack Detection System Based on Beidou and LIDAR -- 1 Introduction -- 2 Current Status of Research -- 3 System Introduction -- 4 System Implementation -- 4.1 Data Acquisition -- 4.2 Data Management -- 4.3 Data Processing -- 4.4 Control Center -- 5 Crack Detection Simulation Experiment -- 6 Innovation and Application Prospects -- 6.1 Innovation Points -- 6.2 Application Prospects -- 6.3 Uncertainties and Shortcomings -- References -- Beidou+5G-Based Plug-In Data Platform to Enhance the Accuracy of Smart Terminal App Applications -- 1 Introduction -- 2 Plug-In Data Platform Design -- 3 Experimental Results and Analysis -- 3.1 Quality Comparison of GNSS Observations -- 3.2 Navigation and Positioning Results and Analysis -- 4 Conclusions -- References -- Analysis on Effects of L-Band Solar Radio Bursts on GNSS -- 1 Introduction -- 2 Background -- 2.1 Surveillance Background -- 2.2 Fundamentals of Data -- 3 Effects on Receiving Signals -- 3.1 Analysis of Carrier-To-Noise Ratio Interference of GPS Signal in IGS Tracking Stations -- 3.2 Interference Analysis of Carrier-To-Noise Ratio of Swarm Satellites GPS Signal -- 3.3 The Relationship Between Altitude Angle of the Receiver to the Sun and the Change of Its Carrier-To-Noise Ratio -- 3.4 Characteristic of Interference -- 4 Effects on Positioning -- 5 Conclusion -- References -- GNSS-IR Retrieval of Soil Moisture in Sugarcane Plantation Based on Cross-Correlation Satellite Selection Method -- 1 Introduction -- 2 Principles and Methods -- 3 Experiment Analysis -- 4 Conclusion -- References -- Extraction of Soil Moisture Based GNSS-R Considering Vegetation Factors -- 1 Introduction -- 2 Observation Data -- 2.1 CYGNSS GNSS-R Data -- 2.2 SMAP Data -- 2.3 ISMN Data -- 3 Methodology -- 4 Results and Analysis.
4.1 Evaluation at Quasi-global Scale -- 4.2 Validation at In-situ Sites -- 5 Conclusion and Discussion -- References -- A Non-contact Tilt Compensation Method Based on Monocular Camera/GNSS/INS -- 1 Introduction -- 2 Coordinate System, Symbol Definition -- 3 Basic Model of Non-contact Measurement -- 4 Error Analysis of Non-contact Measurement -- 5 Camera Attitude Optimization -- 5.1 Get Camera Prior Pose -- 5.2 Reconstruction of 3D Model -- 5.3 Optimizing Camera Pose -- 6 Experiment and Results -- 6.1 Experimental Design -- 6.2 Experimental Results -- 7 Conclusion -- References -- CYGNSS High Spatiotemporal Resolution Flood Monitoring Based on POBI Interpolation: A Case Study of 2022 Pakistan Catastrophic Floods -- 1 Introduction -- 2 Data and Methods -- 2.1 Study Area -- 2.2 CYGNSS Data -- 2.3 SMAP Data and SMOS Data -- 2.4 CYGNSS SR -- 2.5 POBI Spatial Interpolation Method -- 3 Results -- 3.1 SR Threshold -- 3.2 SMAP Flood Monitoring Results -- 3.3 CYGNSS Flood Monitoring Results After POBI Interpolation -- 4 Conclusion -- References -- Modeling and Performance Evaluation of TomoSAR System Based on Reflected Signal of Beidou Navigation Satellite -- 1 Introduction -- 2 Signal Model of GNSS-TomoSAR -- 3 GNSS-TomoSAR Performance Indicators -- 4 Verification by Simulation -- 5 Conclusion -- References -- Soil Moisture Inversion Based on Dual-Frequency Signal of QZSS GEO Satellite -- 1 Introduction -- 2 Experiment Theory -- 2.1 Principle of GNSS-R Soil Moisture Inversion -- 2.2 QZSS System and L1 C/A, L5 Signal Characteristics -- 2.3 Signal Power Acquisition -- 3 Experiment and Results -- 3.1 Area of Study -- 3.2 Soil Moisture Detection Results -- 4 Generalize -- References -- Comparison and Analysis of Tidal Level Monitoring Accuracy Between GNSS-IR and Satellite Altimetry -- 1 Introduction -- 2 Datasets Description -- 2.1 Datasets. 2.2 Unification of Time Bases -- 2.3 Elevation Datum Conversion -- 2.4 Principle of GNSS-IR Technology -- 2.5 Principle of Satellite Altimetry Technology -- 3 Comparison and Characterization of Tide Level Monitoring Between GNSS-IR and Satellite Altimetry -- 4 Conclusions -- References -- Performance Assess of BDS-3 PPP-B2b Signal Service and Its Application in Precipitable Water Vapor Retrieval -- 1 Introduction -- 2 Methodology -- 2.1 The Theoretical Methods of PPP -- 2.2 The Atmospheric Water Vapor Retrieval Method Based on PPP-B2b Signal -- 3 Evaluation of the PPP-B2b Signal Service Range -- 3.1 Accuracy Evaluation of Satellite Orbit Corrected by PPP-B2b Signal -- 3.2 Accuracy Evaluation of Satellite Clock Offset Corrected by PPP-B2b Signal -- 3.3 Evaluation of PPP-B2b Service Performance -- 4 Application of PPP-B2b Signal in Water Vapor Retrieval -- 4.1 Accuracy Evaluation of ZTD -- 4.2 Accuracy Evaluation of PWV -- 5 Conclusion -- References -- Deformation Monitoring Experiment and Data Analysis of Beidou Surface Deformation Measuring Radar and GBSAR -- 1 Introduction -- 2 Introduction to Beidou Surface Deformation Measurement Radar -- 3 Data Acquisition and Deformation Inversion -- 3.1 Experimental Design and Data Acquisition -- 3.2 PS Point Selection and Error Compensation -- 3.3 Three-Dimensional Deformation Inversion -- 3.4 Comparison of Deformation with Monitoring Points -- 4 Experimental Results -- 5 Conclusion -- References -- Research on Zenith Tropospheric Delay Model Based on TCN Improving HGPT2 Model -- 1 Introduction -- 2 Data -- 3 Models and Methods -- 3.1 GPT3 Model -- 3.2 HGPT2 Model -- 3.3 Temporal Convolutional Network -- 4 Experiment and Discussion -- 4.1 Comparison Between HGPT2ZTD and GPT3 ZTD -- 4.2 Accuracy of TCNZTD -- 5 Conclusion -- References -- Prediction of Ionospheric TEC Based on BLS-LSTM-GRU Hybrid Model. 1 Introduce -- 2 Data and Preprocessing -- 2.1 Data -- 2.2 Pretreatment -- 3 Methods -- 3.1 Width Learning Network Principle and Structure -- 3.2 Principles and Structure of the LSTM Neural Network -- 3.3 Principles and Structure of GRU Gated Cycle Unit Network -- 3.4 A Hybrid Model Based on the BLS-LSTM-GRU -- 4 Experiment -- 4.1 Data Collation and Experimental Setup -- 4.2 Evaluation Indicators -- 4.3 Accuracy Assessment of Different Test Sites -- 4.4 Assessment of Accuracy Under Different Geomagnetic Conditions -- 5 Conclusion -- References -- Heavy Rainfall Prediction Model Using Sample Entropy Derived from GNSS-PWV and PSO-SVM -- 1 Introduction -- 2 Study Area and PWV Sample Entropy Extraction -- 2.1 Study Area -- 2.2 The Method of GNSS Inversion PWV -- 2.3 GNSS-PWV Time Domain Feature Extraction -- 2.4 GNSS-PWV Sample Entropy Extraction -- 3 PSO-SVM-Based Heavy Rainfall Prediction Model -- 3.1 PSO-SVM Algorithm -- 3.2 Model for Predicting Heavy Rainfall -- 3.3 Evaluation Indicators -- 4 Results and Discussion -- 4.1 Feature Correlation Analysis -- 4.2 Effect of Different Features on Model Prediction Results -- 4.3 Impact of Different Machine Learning Algorithms on Model Prediction Results -- 4.4 Forecasting Model Comparison -- 5 Conclusion -- References -- High Precision ZTD Model for the Chinese Southeast Region Using ERA5 Reanalysis Data -- 1 Introduction -- 2 Elevation Normalization Factor Grid -- 2.1 Calculate ZTD by ERA5 Reanalysis Data -- 2.2 Elevation Normalization Factor Fit -- 3 ZTD Spatial and Temporal Characteristics Analysis -- 4 Regional Troposphere Zenith Total Delay Grid Model -- 5 Conclusion -- References -- Research on the Construction of "BeiDou Navigation Satellite System Application Industry Development Index" System -- 1 Background -- 1.1 Present Situation Analysis -- 1.2 Necessity -- 2 System Design. 2.1 Construction Purpose -- 2.2 Modeling Method -- 2.3 Algorithm -- 2.4 Data Sources -- 2.5 Construction of the BDTT -- 2.6 BDI Report Form -- 3 Achievements -- 4 BDI Value Mining and Scenario Application Research -- 4.1 Social Value Mining and Application: "BeiDou Low Carbon Monitor Index" -- 4.2 Economic Value Mining and Application: "BDS Investment Index" -- 4.3 Scientific and Technological Value Mining and Application: "BDS Scientific Research Index" -- 4.4 Commercial Value Mining and Application: BDTT -- 4.5 Mining and Application of Industrial Chain Ecological Value: Research on BDS Industry Derivative Business -- 5 Conclusion -- References -- Design and Implementation of Integrated Navigation and Positioning System for Towed Streamer Marine Seismic Exploration -- 1 Introduction -- 2 Requirements Analysis -- 2.1 Real-Time Navigation and Positioning Scene -- 2.2 Near-real-time Navigation and Positioning Scene -- 2.3 Positioning Data Post-processing Scene -- 3 Design of Crucial Algorithms -- 3.1 Real-Time Algorithm -- 3.2 Near-real-time Algorithm -- 3.3 Post-processing Algorithm -- 4 System Implementation -- 5 System Verification -- 5.1 Simulation Data Experiment -- 5.2 Measured Data Experimental Validation -- 6 Conclusion -- References -- Analysis of GNSS Coordinate Time Series in North China by Independent Component Analysis -- 1 Introduction -- 2 Data and Methods -- 2.1 GNSS Coordinate Time Series -- 2.2 Coordinate Time Series Fitting Model -- 2.3 Noise Analysis on Residual Coordinate Time Series -- 2.4 Spatial Noise Analysis of Residual Time Series -- 3 Results and Analysis -- 3.1 Noise Model of GNSS Residual Coordinate Time Series -- 3.2 Spatiotemporal Decomposition by ICA and CME Signal Identification -- 3.3 The Influence of CME on GNSS Coordinate Time Series -- 4 Conclusions and Prospect -- References. A Machine-Learning-Based Missing Data Interpolation Method for GNSS Time Series. |
Record Nr. | UNINA-9910760292603321 |
Yang Changfeng
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Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024 | ||
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Lo trovi qui: Univ. Federico II | ||
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China Satellite Navigation Conference (CSNC 2024) Proceedings [[electronic resource] ] : Volume III / / edited by Changfeng Yang, Jun Xie |
Autore | Yang Changfeng |
Edizione | [1st ed. 2024.] |
Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024 |
Descrizione fisica | 1 online resource (650 pages) |
Disciplina | 621.382 |
Altri autori (Persone) | XieJun |
Collana | Lecture Notes in Electrical Engineering |
Soggetto topico |
Telecommunication
Signal processing Aerospace engineering Astronautics Control engineering Robotics Automation Geographic information systems Communications Engineering, Networks Signal, Speech and Image Processing Aerospace Technology and Astronautics Control, Robotics, Automation Geographical Information System |
ISBN | 981-9969-44-1 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Intro -- Editorial Board -- Preface -- Contents -- Satellite Orbit Determination and Precise Positioning -- Performance Analysis of BDS-3 Klobuchar Model -- 1 Introduction -- 2 Klobuchar model -- 3 Comparison on model algorithm -- 3.1 Main function -- 3.2 Mapping function -- 3.3 Other Formulas -- 4 Results and analysis -- 4.1 Average correction accuracy -- 4.2 Correction accuracy for different latitudes -- 4.3 Interchangeability of BDSKlob and GPSKlob models -- 5 Conclusions -- References -- Analysis of the Impact of Tonga Volcano Eruption on Satellite Navigation Services -- 1 Introduction -- 2 Analysis of the Tonga volcano eruption on satellite signal propagation -- 2.1 The Analysis of Troposphere Delay -- 2.2 The Analysis of Ionosphere Delay -- 3 Impact of Tonga Volcanic Explosion on Satellite Navigation Service and Monitoring -- 3.1 Impact on User Navigation and Positioning Services -- 3.2 Monitoring of Ionospheric Impacts -- 4 Conclusion -- References -- Prediction of Satellite Solar Radiation Pressure Parameters Based on Recurrent Neural Network -- 1 Introduction -- 2 Research Review -- 3 Recurrent Neural Network Model -- 4 Prediction Method of Satellite Solar Radiation Pressure Parameters Based on Recurrent Neural Network -- 5 Test Results and Analysis -- 6 Conclusions -- References -- Real-Time Kinematic Orbit Determination of GEO Satellite with the Onboard GNSS Receiver -- 1 Introduction -- 2 TTS-2 -- 2.1 Onboard GPS Data -- 2.2 Post-Process OD Results -- 3 Test Strategy -- 3.1 Data Preprocessing -- 3.2 OD Strategy -- 3.3 Test Design -- 4 Analysis and Results -- 4.1 Scenario 1 -- 4.2 Scenario 2 -- 5 Summarize -- References -- Analysis of the Contributions of ISL to the Precise Orbit Determination of BDS-3 Satellites -- 1 Introduction -- 2 Inter-Satellite Links -- 2.1 Observation Model -- 2.2 Data Processing -- 3 Results and Analysis.
3.1 Incorporate Only ISL Range Observations -- 3.2 Incorporate Only ISL Clock Observations -- 3.3 Incorporate Both ISL Range and Clock Observations -- 4 Conclusion -- References -- BDS-3/GNSS Multi-frequency PPP Rapid Ambiguity Resolution -- 1 Introduction -- 2 Multi-frequency and Multi-system PPP-AR Principle -- 2.1 Multi-frequency Undifferenced and Uncombined PPP Observation Equations -- 2.2 Multi-frequency PPP-AR Based on BIAS Products -- 2.3 Rapid Ambiguity Resolution Strategy -- 3 Experiment Results -- 3.1 CNES BIAS Product Performance -- 3.2 BDS-3 Multi-frequency PPP-AR -- 3.3 GNSS Multi-frequency PPP-AR -- 3.4 Single-Epoch PPP-WAR -- 4 Conclusion -- References -- Effect of Troposphere Parameter Estimation on BDS PPP -- 1 Introduction -- 2 Mathematical Models and Methods -- 2.1 Precision Point Positioning Model -- 2.2 Tropospheric Delay Estimation Methods -- 3 Data Sources and Experimental Protocols -- 3.1 Data Sources -- 3.2 Experimental Protocols -- 4 Analysis of Experimental Results -- 4.1 ZTD Analysis -- 4.2 Analysis Based on PPP and ZTD Accuracy -- 5 Conclusion -- References -- Comprehensive Analysis of the Cycle Slip Detection Threshold in Kinematic PPP During Geomagnetic Storms -- 1 Introduction -- 2 Theory and Methods -- 2.1 TurboEdit Cycle Slip Detection Method -- 2.2 Adaptive GF Threshold Model -- 3 Space Weather Indices Variations -- 4 Experimental Analysis -- 4.1 Data Processing Strategies -- 4.2 Analysis of the Experiment Results -- 5 Conclusion -- References -- Analysis of Rapid Re-initialization Performance of Precise Point Positioning for Low-Cost Receiver -- 1 Introduction -- 2 Mathematical Model -- 2.1 Undifferenced and Uncombined Model -- 2.2 Time-Differenced Model -- 3 Partial Cycle Slip Fixing -- 3.1 Partial Cycle Slip Subset Filtering -- 3.2 Cycle Slip Estimate and Testing -- 4 Experimental Results and Analysis. 4.1 Processing Strategy -- 4.2 Experimental Analysis -- 5 Conclusions -- References -- Prototype of Real-Time Orbit Service for LEO Navigation Satellite System -- 1 Introduction -- 2 Real-Time LEO POD System -- 2.1 System Composition -- 2.2 System Working Principle -- 3 Data Set and Processing Strategies -- 3.1 Data Set -- 3.2 Processing Strategies of LEO POD -- 3.3 Processing Strategies of Dynamic Orbit Prediction -- 3.4 Processing Strategies of Broadcast Ephemeris Fitting -- 4 Results and Analysis -- 4.1 Analysis of Near-Real-Time Kinematic Orbit Accuracy -- 4.2 Analysis of Dynamic Prediction Orbit Accuracy -- 4.3 Analysis of LEO Broadcast Ephemeris Accuracy -- 5 Conclusion -- References -- BDS3-Based Precise Orbit Determination for LEO Satellites with Single-Receiver Ambiguity Fixing -- 1 Introduction -- 2 Single-Receiver Ambiguity Fixing -- 3 Orbit Determination Strategy -- 4 Result Evaluation -- 4.1 Ambiguity Fixing Performance -- 4.2 Orbit Evaluation -- 4.3 Baseline Evaluation -- 5 Conclusion -- References -- Assessment About Parameters Selection Strategy of ECOMC Solar Radiation Pressure Model for BDS-3 Satellites During the Earth Eclipsing Period -- 1 Introduction -- 2 Applicability Analysis of Solar Radiation Pressure Model -- 2.1 ECOM/ECOMC Solar Radiation Pressure Model -- 2.2 Strategy of Precision Orbit Determination -- 2.3 Analysis of Variation Law of Solar Radiation Pressure Parameters -- 3 ECOMC Model Improvement Method -- 3.1 Correlation Analysis of Solar Radiation Pressure Parameters of ECOMC Model during the Earth Eclipsing Period -- 3.2 Result Analysis -- 4 Conclusions -- References -- Assessment of Solar Radiation Pressure Models for BDS-3 MEO Navigation Satellites -- 1 Introduction -- 2 Methodology of SRP Models -- 2.1 ECOM Series SRP Models -- 2.2 Prior SRP Models -- 3 Metadata and Yaw Mode of BDS-3 MEO Satellites. 3.1 Metadata of BDS-3 MEO Satellites -- 3.2 Yaw Mode of BDS-3 MEO Satellites -- 4 Experiments and Analysis -- 4.1 Orbit Determination Strategy -- 4.2 SLR -- 4.3 Orbit Boundary Discontinuities -- 4.4 Analysis for Precise Orbit Products of IGS ACs -- 5 Summary and Conclusions -- References -- Combined Processing of Outlier and Multipath in GNSS Precise Point Positioning -- 1 Introduction -- 2 Combined Processing of Outlier and Multipath -- 3 Experiment Results and Analysis -- 4 Conclusion -- References -- Polar Motion Prediction Based on the Combination of Weighted Least Squares and Vector Autoregressive Models -- 1 Introduction -- 2 Prediction Methodology -- 2.1 Weighted Least Squares Extrapolation -- 2.2 Choice of Weighting Function -- 2.3 Vector Autoregressive Modelling -- 3 Result Analysis -- 3.1 Data Source -- 3.2 Correlation Between the Pole Coordinates -- 3.3 Comparison with the LS+AR -- 3.4 Comparison with the IERS Bulletin A -- 4 Conclusion -- References -- Precise Orbit and Clock Offset Determination of LEO Navigation Satellites Based on Multi-constellation and Multi-frequency Spaceborne GNSS Data -- 1 Introduction -- 2 Data Source and Calculation Principle -- 3 Precision Orbit Determination Analysis -- 3.1 PCO Estimation -- 3.2 DCB Correction -- 3.3 Orbit Accuracy -- 4 Precision Clock Determination Analysis -- 5 Conclusion -- References -- GNSS Carrier Phase Heading Determination with a Single Array Antenna -- 1 Introduction -- 2 Model of Carrier Phase Heading Determination With an Array Antenna -- 3 Iteration-Based Heading Determination Method -- 4 Baseline Constrained AR Method -- 5 Simulation Validation and Analysis -- 5.1 Simulation Setup -- 5.2 Heading Solution Analysis -- 5.3 Impact of the Number of Iterations on Heading Solutions -- 5.4 Impact of C-LAMBDA on Heading Solutions -- 6 Conclusions -- References. Performance Evaluation of BDS-3 Satellite Clocks Based on Inter-Satellite Link and Satellite-Ground Observations -- 1 Introduction -- 2 Method of Satellite Clock Performance Evaluation -- 2.1 Data Preprocessing -- 2.2 Frequency Accuracy -- 2.3 Frequency Drift Rate -- 2.4 Frequency Stability -- 3 Results of Satellite Clock Performance Evaluation -- 3.1 Frequency Accuracy -- 3.2 Frequency Drift Rate -- 3.3 Frequency Stability -- 4 Conclusions -- References -- Global Mapping of Ionospheric ROTI Index and Its Preliminary Application in Analysis of Precise Positioning Degradation -- 1 Introduction -- 2 Data and Methodology -- 2.1 Data -- 2.2 ROTI Index -- 2.3 Mapping Methodology for ROTI Index -- 2.4 Processing Strategy for Precise Point Positioning -- 3 Results and Discussions -- 3.1 Comparisons of Semi-Variogram Models for ROTI Mapping -- 3.2 Global ROTI Mapping for 2017 September 7-8 Storm -- 3.3 Kinematic PPP Degradation During the 2017 September Storm -- 4 Conclusions and Future Work -- References -- Precise Point Positioning Ambiguity Resolution with Multi-frequency Ionosphere-Reduced Combination -- 1 Introduction -- 2 Conventional IFPPP Ambiguity Resolution -- 3 Multi-frequency IRPPP Ambiguity Resolution -- 3.1 Multi-frequency IR Combination Selection -- 3.2 Multi-frequency IRPPP Observation Model -- 4 Experiment Analysis -- 4.1 Result Analysis of FCB -- 4.2 Performance Comparison of IRPPP and IFPPP -- 5 Conclusion -- References -- Simulation Study on Real-Time Orbit Determination Based on GNSS for LEO Satellite Considering the Effect of Electric Propulsion -- 1 Introduction -- 2 RTOD Algorithm -- 2.1 GNSS Measurements -- 2.2 Dynamical Model of LEO -- 2.3 Extended Kalman Filter Model -- 3 Simulation Scenarios and RTOD Strategy -- 3.1 Simulation Scenarios -- 3.2 RTOD Strategy -- 4 Results and Analysis -- 4.1 Tracking Performance. 4.2 Acceleration Error. |
Record Nr. | UNINA-9910760300303321 |
Yang Changfeng
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Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024 | ||
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Lo trovi qui: Univ. Federico II | ||
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Cognitive Infocommunications, Theory and Applications / / edited by Ryszard Klempous, Jan Nikodem, Péter Zoltán Baranyi |
Edizione | [1st ed. 2019.] |
Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 |
Descrizione fisica | 1 online resource (465 pages) |
Disciplina | 004.019 |
Collana | Topics in Intelligent Engineering and Informatics |
Soggetto topico |
Computational intelligence
Artificial intelligence Signal processing User interfaces (Computer systems) Human-computer interaction Image processing - Digital techniques Computer vision Computational Intelligence Artificial Intelligence Signal, Speech and Image Processing User Interfaces and Human Computer Interaction Computer Imaging, Vision, Pattern Recognition and Graphics |
ISBN | 3-319-95996-4 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Using deep rectifier neural nets and probabilistic sampling for topical unit classification -- Monte Carlo methods for real-time driver workload estimation using a cognitive architecture -- Cognitive data visualization - a new field with a long history -- Executive functions and personality from a systemic-ecological perspective -- Mirroring and prediction of gestures from interlocutor’s behavior -- Automatic labeling affective scenes in spoken conversations -- Tracking the expression of annoyance in call centers -- Modeling of filled pauses and prolongations to improve Slovak spontaneous speech recognition -- Enhancing air traffic management security by means of conformance monitoring and speech analysis -- Compassion cluster expression features in affective robotics from a cross-cultural perspective -- Understanding human sleep behaviour by machine learning -- Electroencephalogram-based brain-computer interface for Internet of Robotic Things -- CogInfoCom-driven surgical skill training and assessment -- Cognitive cloud-based telemedicine system -- Pilot application of eye-tracking to analyze a computer exam test -- The edu-coaching method in the service of efficient teaching of disruptive technologies -- 3D modeling and printing interpreted in terms of cognitive infocommunication -- Constraints programming driven decision support system for rapid production flow planning -- Improving adaptive gameplay in serious games through interactive deep reinforcement learning -- A study on a protocol for ad hoc network based on Bluetooth Low Energy. |
Record Nr. | UNINA-9910484770703321 |
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 | ||
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Lo trovi qui: Univ. Federico II | ||
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Coherence [[electronic resource] ] : In Signal Processing and Machine Learning / / by David Ramírez, Ignacio Santamaría, Louis Scharf |
Autore | Ramirez David |
Edizione | [1st ed. 2022.] |
Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2022 |
Descrizione fisica | 1 online resource (495 pages) |
Disciplina | 006.31 |
Soggetto topico |
Signal processing
Computer science - Mathematics Mathematical statistics Machine learning Signal, Speech and Image Processing Probability and Statistics in Computer Science Machine Learning Processament de senyals Aprenentatge automàtic |
Soggetto genere / forma | Llibres electrònics |
ISBN | 3-031-13331-5 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Introduction -- Historical perspective, motivating problems, and preview of what is to come -- Least Squares and related -- Classical correlations and coherence -- Coherence in the multivariate normal (MVN) model -- Classical tests for correlation -- One-channel matched subspace detectors -- Adaptive subspace detectors -- Two channel matched subspace detectors -- Detection of spatially-correlated time series -- Coherence and the detection of cyclostationarity -- Partial coherence for testing causality -- Subspace averaging -- Coherence and performance bounds -- Variations on coherence -- Conclusion. |
Record Nr. | UNISA-996503549103316 |
Ramirez David
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Cham : , : Springer International Publishing : , : Imprint : Springer, , 2022 | ||
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Lo trovi qui: Univ. di Salerno | ||
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Coherence : In Signal Processing and Machine Learning / / by David Ramírez, Ignacio Santamaría, Louis Scharf |
Autore | Ramirez David |
Edizione | [1st ed. 2022.] |
Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2022 |
Descrizione fisica | 1 online resource (495 pages) |
Disciplina |
006.31
621.3822 |
Soggetto topico |
Signal processing
Computer science - Mathematics Mathematical statistics Machine learning Signal, Speech and Image Processing Probability and Statistics in Computer Science Machine Learning Processament de senyals Aprenentatge automàtic |
Soggetto genere / forma | Llibres electrònics |
ISBN | 3-031-13331-5 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Introduction -- Historical perspective, motivating problems, and preview of what is to come -- Least Squares and related -- Classical correlations and coherence -- Coherence in the multivariate normal (MVN) model -- Classical tests for correlation -- One-channel matched subspace detectors -- Adaptive subspace detectors -- Two channel matched subspace detectors -- Detection of spatially-correlated time series -- Coherence and the detection of cyclostationarity -- Partial coherence for testing causality -- Subspace averaging -- Coherence and performance bounds -- Variations on coherence -- Conclusion. |
Record Nr. | UNINA-9910637713703321 |
Ramirez David
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Cham : , : Springer International Publishing : , : Imprint : Springer, , 2022 | ||
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Lo trovi qui: Univ. Federico II | ||
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Communication Principles for Data Science [[electronic resource] /] / by Changho Suh |
Autore | Suh Changho |
Edizione | [1st ed. 2023.] |
Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023 |
Descrizione fisica | 1 online resource (294 pages) |
Disciplina | 381 |
Collana | Signals and Communication Technology |
Soggetto topico |
Artificial intelligence—Data processing
Digital media Computer science—Mathematics Mathematical statistics Signal processing Data Science Digital and New Media Probability and Statistics in Computer Science Signal, Speech and Image Processing |
ISBN | 981-19-8008-X |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Preface -- Acknowledgements -- Part 1. Communication over the Gaussian channel -- Chapter 1.Overview of the book -- Chapter 2. A statistical model for additive noise channels -- Chapter 3. Additive Gaussian noise model -- Problem Set 1 -- Chapter 4. Optimal receiver: maximum A Posteriori (MAP) principle -- Chapter 5. Analysis of error probability -- Chapter 6. Multiple bits transmission via pulse amplitude modulation -- Problem Set 2 -- Chapter 7. Multi-shot communication -- Chapter 8. Repetition coding -- Chapter 9: Capacity of the additive white Gaussian noise channel -- Problem Set 3 -- Part 2. Communication over inter-symbol interference (ISI) channels -- Chapter 10. Signal conversion from discrete to continuous time (1/2) -- Chapter 11. Signal conversion from discrete to continuous time (2/2) -- Chapter 12. Optimal receiver architecture -- Problem Set 4 -- Chapter 13. Optimal receiver in ISI channels: maximum likelihood (ML) sequence detection -- Chapter 14. Optimal receiver in ISI channels: Viterbi algorithm -- Problem Set 5 -- Chapter 15.Orthogonal frequency division multiplexing (1/3) -- Chapter 16. Orthogonal frequency division multiplexing (2/3) -- Chapter 17. Orthogonal frequency division multiplexing (3/3) -- Problem Set 6 -- Part 3.Data science applications -- Chapter 18. Community detection as a communication problem -- Chapter 19. Community detection: ML principle -- Chapter 20. Community detection: An efficient algorithm -- Chapter 21. Community detection: Python implementation -- Problem Set 7 -- Chapter 22.Haplotype phasing as a communication problem -- Chapter 23. Haplotype phasing: ML principle -- Chapter 24: Haplotype phasing: An efficient algorithm. . |
Record Nr. | UNINA-9910731488503321 |
Suh Changho
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Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023 | ||
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Lo trovi qui: Univ. Federico II | ||
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Communication Principles for Data Science [[electronic resource] /] / by Changho Suh |
Autore | Suh Changho |
Edizione | [1st ed. 2023.] |
Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023 |
Descrizione fisica | 1 online resource (294 pages) |
Disciplina | 381 |
Collana | Signals and Communication Technology |
Soggetto topico |
Artificial intelligence—Data processing
Digital media Computer science—Mathematics Mathematical statistics Signal processing Data Science Digital and New Media Probability and Statistics in Computer Science Signal, Speech and Image Processing |
ISBN | 981-19-8008-X |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Preface -- Acknowledgements -- Part 1. Communication over the Gaussian channel -- Chapter 1.Overview of the book -- Chapter 2. A statistical model for additive noise channels -- Chapter 3. Additive Gaussian noise model -- Problem Set 1 -- Chapter 4. Optimal receiver: maximum A Posteriori (MAP) principle -- Chapter 5. Analysis of error probability -- Chapter 6. Multiple bits transmission via pulse amplitude modulation -- Problem Set 2 -- Chapter 7. Multi-shot communication -- Chapter 8. Repetition coding -- Chapter 9: Capacity of the additive white Gaussian noise channel -- Problem Set 3 -- Part 2. Communication over inter-symbol interference (ISI) channels -- Chapter 10. Signal conversion from discrete to continuous time (1/2) -- Chapter 11. Signal conversion from discrete to continuous time (2/2) -- Chapter 12. Optimal receiver architecture -- Problem Set 4 -- Chapter 13. Optimal receiver in ISI channels: maximum likelihood (ML) sequence detection -- Chapter 14. Optimal receiver in ISI channels: Viterbi algorithm -- Problem Set 5 -- Chapter 15.Orthogonal frequency division multiplexing (1/3) -- Chapter 16. Orthogonal frequency division multiplexing (2/3) -- Chapter 17. Orthogonal frequency division multiplexing (3/3) -- Problem Set 6 -- Part 3.Data science applications -- Chapter 18. Community detection as a communication problem -- Chapter 19. Community detection: ML principle -- Chapter 20. Community detection: An efficient algorithm -- Chapter 21. Community detection: Python implementation -- Problem Set 7 -- Chapter 22.Haplotype phasing as a communication problem -- Chapter 23. Haplotype phasing: ML principle -- Chapter 24: Haplotype phasing: An efficient algorithm. . |
Record Nr. | UNISA-996546820903316 |
Suh Changho
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Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023 | ||
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Lo trovi qui: Univ. di Salerno | ||
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Computer Vision : Algorithms and Applications / / by Richard Szeliski |
Autore | Szeliski Richard <1958-> |
Edizione | [2nd ed. 2022.] |
Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2022 |
Descrizione fisica | 1 online resource (925 pages) |
Disciplina | 006.37 |
Collana | Texts in Computer Science |
Soggetto topico |
Computer vision
Image processing - Digital techniques Machine learning Signal processing Materials - Analysis Imaging systems Computer Vision Computer Imaging, Vision, Pattern Recognition and Graphics Machine Learning Signal, Speech and Image Processing Imaging Techniques |
ISBN |
9783030343729
9783030343712 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | 1 Introduction -- 2 Image Formation -- 3 Image Processing -- 4 Model Fitting and Optimization -- 5 Deep Learning -- 6 Recognition -- 7 Feature Detection and Matching -- 8 Image Alignment and Stitching -- 9 Motion Estimation -- 10 Computational Photography -- 11 Structure from Motion and SLAM -- 12 Depth Estimation -- 13 3D Reconstruction -- 14 Image-Based Rendering -- 15 Conclusion -- Appendix A: Linear Algebra and Numerical Techniques -- Appendix B: Bayesian Modeling and Inference -- Appendix C: Supplementary Material. |
Record Nr. | UNINA-9910523760803321 |
Szeliski Richard <1958->
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Cham : , : Springer International Publishing : , : Imprint : Springer, , 2022 | ||
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Lo trovi qui: Univ. Federico II | ||
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Data Deduplication for Data Optimization for Storage and Network Systems / / by Daehee Kim, Sejun Song, Baek-Young Choi |
Autore | Kim Daehee |
Edizione | [1st ed. 2017.] |
Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 |
Descrizione fisica | 1 online resource (263 p.) |
Disciplina | 620 |
Soggetto topico |
Telecommunication
Information retrieval Computer architecture Signal processing Communications Engineering, Networks Data Storage Representation Signal, Speech and Image Processing |
ISBN | 3-319-42280-4 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Introduction -- De-duplication Background -- Existing De-duplication Techniques -- Hybrid Email De-duplication System -- Structure-Aware File and Email De-duplication for Cloud-based Storage Systems -- Software-defined De-duplication as a Network and Storage Service -- Mobile De-duplication -- Conclusion. |
Record Nr. | UNINA-9910254165803321 |
Kim Daehee
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Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 | ||
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Lo trovi qui: Univ. Federico II | ||
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Dictionary Learning in Visual Computing [[electronic resource] /] / by Qiang Zhang, Baoxin Li |
Autore | Zhang Qiang |
Edizione | [1st ed. 2015.] |
Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015 |
Descrizione fisica | 1 online resource (XVII, 133 p.) |
Disciplina | 620 |
Collana | Synthesis Lectures on Image, Video, and Multimedia Processing |
Soggetto topico |
Engineering
Electrical engineering Signal processing Technology and Engineering Electrical and Electronic Engineering Signal, Speech and Image Processing |
ISBN | 3-031-02253-X |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Acknowledgments -- Figure Credits -- Introduction -- Fundamental Computing Tasks in Sparse Representation -- Dictionary Learning Algorithms -- Applications of Dictionary Learning in Visual Computing -- An Instructive Case Study with Face Recognition -- Bibliography -- Authors' Biographies . |
Record Nr. | UNINA-9910795633803321 |
Zhang Qiang
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Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015 | ||
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Lo trovi qui: Univ. Federico II | ||
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