05349nam 2200757 450 991083028550332120230125185705.01-280-67468-797866136516171-118-28741-X1-118-28742-81-118-28739-89786613651617(CKB)2670000000174995(EBL)822033(SSID)ssj0000641818(PQKBManifestationID)11404094(PQKBTitleCode)TC0000641818(PQKBWorkID)10647425(PQKB)11241482(CaBNVSL)mat06198969(IDAMS)0b00006481812a5e(IEEE)6198969(MiAaPQ)EBC822033(OCoLC)793103992(PPN)258032197(EXLCZ)99267000000017499520151221d2012 uy engur|n|---|||||txtccrSystem identification a frequency domain approach /Rik Pintelon, Johan Schoukens2nd ed.Hoboken, N.J. :Wiley ;Piscataway, NJ :IEEE Press,[Piscataqay, New Jersey] :IEEE Xplore,[2012]1 online resource (790 p.)Description based upon print version of record.0-470-64037-5 Includes bibliographical references and indexes.Preface to the First Edition -- -- Preface to the Second Edition -- -- Acknowledgments -- -- List of Operators and Notational Conventions -- List of Symbols -- List of Abbreviations -- Chapter 1 An Introduction to Identification -- Chapter 2 Measurement of Frequency Response Functions - Standard Solutions -- Chapter 3 Frequency Response Function Measurements in the Presence of Nonlinear Distortions -- Chapter 4 Detection, Quantification, and Qualification of Nonlinear Distortions in FRF Measurements -- Chapter 5 Design of Excitation Signals -- Chapter 6 Models of Linear Time-Invariant Systems -- Chapter 7 Measurement of Frequency Response Functions - The Local Polynomial Approach -- Chapter 8 An Intuitive Introduction to Frequency Domain Identification -- Chapter 9 Estimation with Know Noise Model -- Chapter 10 Estimation with Unknown Noise Model - Standard Solutions -- Chapter 11 Model Selection and Validation -- Chapter 12 Estimation with Unknown Noise Model - The Local Polynomial Approach -- Chapter 13 Basic Choices in System Identification -- Chapter 14 Guidelines for the User -- Chapter 15 Some Linear Algebra Fundamentals -- Chapter 16 Some Probability and Stochastic Convergence Fundamentals -- Chapter 17 Properties of Least Squares Estimators with Deterministic Weighting -- Chapter 18 Properties of Least Squares Estimators with Stochastic Weighting -- Chapter 19 Identification of Semilinear Models -- Chapter 20 Identification of Invariants of (Over) Parameterized Models -- References -- Subject Index -- Author Index -- About the AuthorsSystem identification is a general term used to describe mathematical tools and algorithms that build dynamical models from measured data. Used for prediction, control, physical interpretation, and the designing of any electrical systems, they are vital in the fields of electrical, mechanical, civil, and chemical engineering.Focusing mainly on frequency domain techniques, System Identification: A Frequency Domain Approach, Second Edition also studies in detail the similarities and differences with the classical time domain approach. It high??lights many of the important steps in the identification process, points out the possible pitfalls to the reader, and illustrates the powerful tools that are available.Readers of this Second Editon will benefit from:. MATLAB software support for identifying multivariable systems that is freely available at the website http://booksupport.wiley.com. State-of-the-art system identification methods for both time and frequency domain data. New chapters on non-parametric and parametric transfer function modeling using (non-)period excitations. Numerous examples and figures that facilitate the learning process. A simple writing style that allows the reader to learn more about the theo??retical aspects of the proofs and algorithmsUnlike other books in this field, System Identification, Second Edition is ideal for practicing engineers, scientists, researchers, and both master's and PhD students in electrical, mechanical, civil, and chemical engineering.System identificationSystem identificationSystem identificationCivil & Environmental EngineeringHILCCEngineering & Applied SciencesHILCCOperations ResearchHILCCSystem identification.System identification.System identificationCivil & Environmental EngineeringEngineering & Applied SciencesOperations Research003.1003/.1Pintelon R.(Rik)28431Schoukens J(Johan)27451CaBNVSLCaBNVSLCaBNVSLBOOK9910830285503321System identification1461416UNINA12292nam 22006855 450 991084229550332120250807140316.0981-9975-05-010.1007/978-981-99-7505-1(CKB)30597475400041(MiAaPQ)EBC31201036(Au-PeEL)EBL31201036(DE-He213)978-981-99-7505-1(EXLCZ)993059747540004120240229d2024 u| 0engur|||||||||||txtrdacontentcrdamediacrrdacarrierCommunications, Signal Processing, and Systems Proceedings of the 12th International Conference on Communications, Signal Processing, and Systems: Volume 1 /edited by Wei Wang, Xin Liu, Zhenyu Na, Baoju Zhang1st ed. 2024.Singapore :Springer Nature Singapore :Imprint: Springer,2024.1 online resource (610 pages)Lecture Notes in Electrical Engineering,1876-1119 ;1032981-9975-39-5 Includes bibliographical references.Intro -- Contents -- Text Recognition Method for Handwritten and Natural Scene Text Image: A Review -- 1 Introduction -- 2 The Characteristic of Text Image -- 2.1 The Characteristic of Handwritten Text Image -- 2.2 The Characteristic of Natural Text Image -- 3 The Text Recognition Method -- 3.1 Traditional Text Recognition Method Based on Morphology -- 3.2 Text Recognition Method Based on Deep Learning -- 4 Development Prospect for Text Recognition -- References -- RSA-ABE: A Hybrid Encryption Approach for Medical Privacy Data with Cloud Storage -- 1 Introduction -- 1.1 Background and Related Work -- 1.2 Our Solution -- 1.3 Contributions -- 2 Hybrid Encryption System -- 2.1 OpenABE -- 2.2 Two-Terminal Communication -- 3 Experiment and Results -- 4 Conclusion -- References -- Downlink Beamforming Technique for MU-MIMO-OFDM Systems -- 1 Introduction -- 2 System Model -- 2.1 STBC Encoder -- 3 Coded Beamforming -- 4 Contributions -- 5 Simulation Results -- 6 Conclusion -- References -- CNN Based Resource Management for D2D Networks with Wireless Networks Virtualization -- 1 Introduction -- 2 System Model -- 3 Problem Formulation and Proposed Method -- 3.1 Convolutional Neural Network Based Algorithm -- 4 Simulation Results and Analysis -- 4.1 Parameters -- 4.2 Results and Analysis -- 5 Conclusion -- References -- Research on Key Technologies of Unmanned Combat Vehicle Early Warning Radar -- 1 Introduction -- 2 Key Technology Analysis -- 2.1 Integrated Technology of Active Phased Array Antenna -- 2.2 Real Time Target Classification and Recognition Technology -- 2.3 Integrated Anti-interference Technology -- 3 Conclusion -- References -- Study of the Adaptive Bandwidth Communication Method Based on Software Defined Radio -- 1 Introduction -- 2 System Analysis -- 3 System Design -- 4 Key Technologies -- 5 Simulation Verification -- 6 Conclusion.References -- Multi-spot Beam Wiener Model Channel Capacity Limit Analysis -- 1 Introduction -- 2 Multi-spot Beam Layout Model -- 3 Channel Capacity Mechanism -- 3.1 Optimal Linear Precoding Algorithm -- 3.2 Minimum Mean Square Error Precoding Algorithm -- 4 Simulation and Performance Analysis -- 5 Conclusion -- References -- Main Lobe Interference Suppression Method Based on Fractional Fourier Transform -- 1 Introduction -- 1.1 Signal Model -- 1.2 Principles Related to FRFT -- 2 Mainlobe Interference Suppression Algorithm -- 3 Simulation Results -- 4 Conclusions -- References -- Mangrove Species Classification in Qi'ao Island Based on Gaofen-2 Image and UAV LiDAR -- 1 Introduction -- 2 Study Area and Data Sets -- 2.1 Study Area -- 2.2 Data Sets -- 3 Methods -- 3.1 Mangrove Species Samples Selection -- 3.2 Random Forest Classification -- 3.3 Mangrove Species Classification Based on GaoFen-2 Image -- 3.4 Mangrove Species Classification Based on GaoFen-2 and CHM -- 3.5 Accuracy Assessment -- 4 Results and Discussion -- 4.1 Results -- 4.2 Discussion -- 4.3 Mapping -- 5 Conclusions -- References -- Mobile Traffic Prediction Based on AR-GARCH-LightGBM Hybrid Model -- 1 Introduction -- 2 System Structure -- 3 Model -- 3.1 DWT Model -- 3.2 ARIMA-GARCH Model -- 3.3 LightGBM -- 4 Community Traffic Prediction with Hybrid Model -- 4.1 ARIMA Linear Prediction -- 4.2 LightGBM -- 4.3 Model Evaluation -- 5 Conclusion -- References -- Named Entity Recognition of PCI Surgery Information Based on BERT+BiLSTM+CRF -- 1 Introduction -- 2 Methods -- 2.1 BERT -- 2.2 LSTM -- 2.3 CRF -- 3 Experiments and Results -- 3.1 Dataset -- 3.2 Result Analysis -- 4 Discussion and Conclusion -- References -- Stacking Ensemble Models Predict Mortality from Acute Myocardial Infarction -- 1 Introduction -- 2 Material and Methods -- 2.1 Data Collection and Data Preprocessing.2.2 Feature Selection -- 2.3 Model Building -- 2.4 Evaluation Metrics -- 2.5 Statistical Analysis -- 3 Result -- 3.1 Baseline Characteristics -- 3.2 Results of Feature Selection -- 3.3 Results of Model Comparison -- 4 Discussion -- 5 Conclusion -- References -- LF-GANet: Local Frame-Level Global Dynamic Attention Network for Speech Emotion Recognition -- 1 Introduction -- 2 Methodology -- 2.1 Feature Extraction -- 2.2 Local Frame-Level Module (LFM) -- 2.3 Global Dynamic Attention Module (GAM) -- 3 Experiments -- 3.1 Datasets -- 3.2 Experimental Setup -- 3.3 Results and Analysis -- 4 Conclusions -- References -- Performance Analysis of DF-Based Satellite and UAV Relay Networks -- 1 Introduction -- 2 System and Channel Model -- 2.1 Channel Model -- 2.2 Signal Model -- 2.3 UAV Beamforming Scheme -- 3 Performance Analysis -- 4 Analysis of Simulation Results -- 5 Concluding Remarks -- References -- Composition Analysis and Identification of Ancient Glass Products Based on Random Forest Algorithm -- 1 Introduction -- 2 Dataset -- 3 Predict Original Composition Content -- 3.1 Data Preprocessing -- 3.2 Model -- 3.3 Results and Discussion -- 4 Classification of Category-Unknown Glass Instances -- 4.1 Classification and Results -- 4.2 Analysis and Discussion -- 5 Conclusions -- References -- CNN-Based Sea-Surface Target Detection Using Continuous Wavelet Transform -- 1 Introduction -- 2 Evaluation Criteria of Detectors -- 3 Feature Extraction -- 3.1 STFT -- 3.2 Continuous Wavelet Transform -- 3.3 Data Sampling and Preprocessing -- 4 ResNet Detector -- 4.1 Residual Network -- 4.2 Network Training -- 4.3 False Alarm Rate Control -- 5 Results and Comparison -- 6 Conclusion -- References -- Interference Exploitation Beamforming for Cognitive Radio Network with Energy Transfer -- 1 Introduction -- 2 System Model.3 Robust Beamforming with Constructive Interference -- 4 Simulation Results -- 5 Conclusion -- References -- Kinematic Analysis and Programming Implementation of Patrol Robots Based on Ackermann's Principle -- 1 Introduction -- 2 Kinematic Analysis -- 3 Controlling the Steering Angle of the Front Wheels -- 4 The Programming of the Control -- 5 Conclusion -- References -- Task Allocation Algorithm for Multiple UAVs in IoT Networks -- 1 Introduction -- 2 Task Allocation Model -- 3 Task Allocation Based on Improved Immune Algorithm -- 3.1 Memory Population Initialization -- 3.2 Neighborhood Cloning Operation -- 3.3 Neighborhood Suppression Operation -- 3.4 Population Crossover Operation -- 3.5 Self Learning Operation -- 3.6 Partial 2-opt Operator -- 4 Simulation Results -- References -- Research on Distributed Dynamic Spectrum Access Based on Deep Reinforcement Learning -- 1 Introduction -- 2 System Model and Problem Formulation -- 2.1 State -- 2.2 Action -- 2.3 Reward -- 2.4 Policy -- 3 Proposed DRL Algorithm -- 4 Simulation Results -- 5 Conclusion -- References -- Study on the Inversion of Dissolved Oxygen in Water Based on HJ-1A Hyperspectral Data -- 1 Introduction -- 2 Data Acquisition and Preprocessing -- 2.1 Acquisition of Measured Data -- 2.2 Acquisition and Preprocessing of Remote Sensing Image Data -- 3 Semi-Empirical Linear Regression Modeling -- 3.1 Pearson Correlation Analysis -- 3.2 Establishment of DO Inversion Model -- 4 Conclusion -- References -- Research on the Impact of 5G Terminals on Electromagnetic Radiation of 5G Base Stations -- 1 5G NR Mobile Communication System -- 1.1 Introduction of 3GPP Release 15, 16, 17 for the History of 5G -- 1.2 Channel and Beam Profile for 5G NR -- 2 Electromagnetic Radiation from 5G Base Stations in Different 5G Terminal Application Scenarios -- 2.1 Application Scenarios Specified in HJ1151-2020.2.2 Problem Formulation -- 2.3 Practical Testing -- References -- Lightweight Infrared and Visible Image Fusion Based on Attention Mechanism and Receptive Field Enhancement -- 1 Introduction -- 2 Method -- 2.1 DenseFuse: A Fusion Method to Infrared and Visible Images -- 2.2 Lightweight Infrared and Visible Image Fusion Based on Attention Mechanism and Receptive Field Enhancement -- 3 Experiment and Result Analysis -- 3.1 Experimental Details and Parameter Settings -- 3.2 Comparative Experiment -- 3.3 Ablation Experiment -- 4 Conclusion -- References -- Lightweight Feature Fusion for Single Shot Multibox Floater Detection -- 1 Introduction -- 2 Related Work -- 2.1 Lightweight Network -- 2.2 SSD Network -- 3 SSD Networks Based on Lightweight Feature Fusion -- 3.1 Lightweight Backbone Network -- 3.2 Lightweight Feature Fusion Module -- 4 Experiments and Analysis of Results -- 4.1 Comparative Analysis of Different Algorithms -- 4.2 Ablation Experiment -- 5 Conclusion -- References -- LOS/NLOS Detection in UWB Localization System with Anchors Deployment Along a Narrow Path -- 1 Introduction -- 2 Problem Statement -- 3 LOS/NLOS Detection Algorithm -- 3.1 Single Path LOS/NLOS Detection -- 3.2 Multipath LOS/NLOS Detection -- 3.3 LOS/NLOS Detection Based on Tetrahedron Volume -- 4 Simulation Results -- 5 Conclusion -- References -- Stackelberg Game Based Adaptive Value Evaluation Strategy -- 1 Introduction -- 2 Research Method -- 2.1 Stackelberg Game -- 2.2 Backward Induction -- 3 Model Building -- 3.1 Assumptions and Parameters -- 3.2 Model Building -- 4 Calculation -- 4.1 The First Model -- 4.2 The Second Model -- 5 Example Analysis -- 5.1 Three Basic Recycle Models -- 5.2 Examples -- 6 Conclusion -- References -- Surface Defect Detection Method of Strip Steel Based on Improved YOLOv5 -- 1 Introduction -- 2 Related Works -- 3 Methodology.3.1 SeC3 Module Integrated with SENet.This book brings together papers presented at the 2023 International Conference on Communications, Signal Processing, and Systems, which provides a venue to disseminate the latest developments and to discuss the interactions and links between these multidisciplinary fields. Spanning topics ranging from Communications, Signal Processing, and Systems, this book is aimed at undergraduate and graduate students in Electrical Engineering, Computer Science and Mathematics, researchers and engineers from academia and industry as well as government employees (such as NSF, DOD, DOE).Lecture Notes in Electrical Engineering,1876-1119 ;1032TelecommunicationSignal processingImage processingDigital techniquesComputer visionCommunications Engineering, NetworksSignal, Speech and Image ProcessingComputer Imaging, Vision, Pattern Recognition and GraphicsTelecommunication.Signal processing.Image processingDigital techniques.Computer vision.Communications Engineering, Networks.Signal, Speech and Image Processing.Computer Imaging, Vision, Pattern Recognition and Graphics.004.6Wang WeiLiu XinZhang BaojuMiAaPQMiAaPQMiAaPQBOOK9910842295503321Communications, Signal Processing, and Systems1961481UNINA