Info
- Utilizzare la checkbox di selezione a fianco di ciascun documento per attivare le funzionalità di stampa, invio email, download nei formati disponibili del (i) record.
Recent Advances in Indoor Localization Systems and Technologies
| Recent Advances in Indoor Localization Systems and Technologies |
| Autore | Simon Gyula |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 online resource (502 p.) |
| Soggetto topico | Technology: general issues |
| Soggetto non controllato |
5G system
Access Point Selection adaptive filter adaptive Kalman filter assistive technology automated data acquisition automated progress reporting autoregressive model azimuth estimation bearing estimation Bluetooth Low Energy C-Means carrier phase channel state information closed-form solution computer vision Cramer-Rao lower bound data fusion deep learning deep neural network (DNN) differential pseudolite system DWM1000 extended kalman filter extended Kalman filter feature extraction filter fingerprinting finite memory structure fusion navigation Gaussian model genetic algorithm geomagnetic positioning geometric dilution of precision GPS signal heading estimation hidden Markov models (HMM) hybrid localization hybrid positioning I/O detection indoor localization indoor localization technologies indoor location recognition indoor navigation indoor positioning Indoor Positioning System indoor ranging algorithm infinite memory structure integrity monitoring internet of things K-Means Kalman filter laser range finder localization location fingerprinting LOS machine learning markers mobile devices mobile fingerprinting mobile robot mobile robots model based techniques modified probabilistic data association (MPDA) multi-label convolutional support vector machine (M-CSVM) multi-path detection multilayer perceptron navigational system NLOS NLOS and MP discrimination NLOS identification optimization methods particle filter path planning PDR pedestrian dead reckoning pedestrian dead reckoning (PDR) photodiode array position estimation positioning applications proximity sensors quality control random forest received signal strength (RSS) received signal strength indication (RSSI) received signal strength indicator reflection noise reliability remote sensing technologies RSS-fingerprint semisupervised learning sensor fusion frameworks signal processing smart buildings smartphone smartphone sensors smoother SVM target tracking time of arrival (TOA) tracking resources trajectory learning transparent obstacle recognition trilateration UWB visually impaired visually impaired (VI) VPR Wi-Fi fine timing measurement Wi-Fi fingerprint positioning Wi-Fi indoor positioning Wi-Fi received signal strength indicator (RSSI) wireless sensor network WLAN |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557333003321 |
Simon Gyula
|
||
| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Spatiotemporal data analysis / / Gidon Eshel
| Spatiotemporal data analysis / / Gidon Eshel |
| Autore | Eshel Gidon <1958-> |
| Edizione | [Course Book] |
| Pubbl/distr/stampa | Princeton : , : Princeton University Press, , [2012] |
| Descrizione fisica | 1 online resource (336 p.) |
| Disciplina | 519.5/36 |
| Soggetto topico | Spatial analysis (Statistics) |
| Soggetto genere / forma | Electronic books. |
| Soggetto non controllato |
EOF analysis
EOF GramГchmidt orthogonalization SVD analysis SVD astrophysics autocorrelation functions autocovariance autoregressive model climate science column space covariability matrix data analysis data matrices degrees of freedom deterministic science ecology eigen-decomposition eigen-techniques eigenanalysis eigenvalues empirical orthogonal functions empirical science empiricism exercises forward problem geophysics inverse problem linear algebra linear regression matrices matrix structure matrix medicine multidimensional data sets multidimensional data nondeterministic phenomena null space phenomena probability distribution row space singular value decomposition spatiotemporal data spectral representation square matrices statistics stochastic processes subjective decisions theoretical science time series timescale tornado variables vectors |
| ISBN | 1-4008-4063-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Frontmatter -- Contents -- Preface -- Acknowledgments -- Part 1. Foundations -- One. Introduction and Motivation -- Two. Notation and Basic Operations -- Three. Matrix Properties, Fundamental Spaces, Orthogonality -- Four. Introduction to Eigenanalysis -- Five. The Algebraic Operation of SVD -- Part 2. Methods of Data Analysis -- Six. The Gray World of Practical Data Analysis: An Introduction to Part 2 -- Seven. Statistics in Deterministic Sciences: An Introduction -- Eight. Autocorrelation -- Nine. Regression and Least Squares -- Ten. The Fundamental Theorem of Linear Algebra -- Eleven. Empirical Orthogonal Functions -- Twelve. The SVD Analysis of Two Fields -- Thirteen. Suggested Homework -- Index |
| Record Nr. | UNINA-9910461571103321 |
|
Eshel Gidon <1958->
|
||
| Princeton : , : Princeton University Press, , [2012] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Spatiotemporal data analysis / / Gidon Eshel
| Spatiotemporal data analysis / / Gidon Eshel |
| Autore | Eshel Gidon <1958-> |
| Edizione | [Course Book] |
| Pubbl/distr/stampa | Princeton : , : Princeton University Press, , [2012] |
| Descrizione fisica | 1 online resource (336 p.) |
| Disciplina | 519.5/36 |
| Soggetto topico | Spatial analysis (Statistics) |
| Soggetto non controllato |
EOF analysis
EOF GramГchmidt orthogonalization SVD analysis SVD astrophysics autocorrelation functions autocovariance autoregressive model climate science column space covariability matrix data analysis data matrices degrees of freedom deterministic science ecology eigen-decomposition eigen-techniques eigenanalysis eigenvalues empirical orthogonal functions empirical science empiricism exercises forward problem geophysics inverse problem linear algebra linear regression matrices matrix structure matrix medicine multidimensional data sets multidimensional data nondeterministic phenomena null space phenomena probability distribution row space singular value decomposition spatiotemporal data spectral representation square matrices statistics stochastic processes subjective decisions theoretical science time series timescale tornado variables vectors |
| ISBN | 1-4008-4063-5 |
| Classificazione | SCI019000MAT002050 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Frontmatter -- Contents -- Preface -- Acknowledgments -- Part 1. Foundations -- One. Introduction and Motivation -- Two. Notation and Basic Operations -- Three. Matrix Properties, Fundamental Spaces, Orthogonality -- Four. Introduction to Eigenanalysis -- Five. The Algebraic Operation of SVD -- Part 2. Methods of Data Analysis -- Six. The Gray World of Practical Data Analysis: An Introduction to Part 2 -- Seven. Statistics in Deterministic Sciences: An Introduction -- Eight. Autocorrelation -- Nine. Regression and Least Squares -- Ten. The Fundamental Theorem of Linear Algebra -- Eleven. Empirical Orthogonal Functions -- Twelve. The SVD Analysis of Two Fields -- Thirteen. Suggested Homework -- Index |
| Record Nr. | UNINA-9910789871903321 |
|
Eshel Gidon <1958->
|
||
| Princeton : , : Princeton University Press, , [2012] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Spatiotemporal data analysis / / Gidon Eshel
| Spatiotemporal data analysis / / Gidon Eshel |
| Autore | Eshel Gidon <1958-> |
| Edizione | [Course Book] |
| Pubbl/distr/stampa | Princeton : , : Princeton University Press, , [2012] |
| Descrizione fisica | 1 online resource (336 p.) |
| Disciplina | 519.5/36 |
| Soggetto topico | Spatial analysis (Statistics) |
| Soggetto non controllato |
EOF analysis
EOF GramГchmidt orthogonalization SVD analysis SVD astrophysics autocorrelation functions autocovariance autoregressive model climate science column space covariability matrix data analysis data matrices degrees of freedom deterministic science ecology eigen-decomposition eigen-techniques eigenanalysis eigenvalues empirical orthogonal functions empirical science empiricism exercises forward problem geophysics inverse problem linear algebra linear regression matrices matrix structure matrix medicine multidimensional data sets multidimensional data nondeterministic phenomena null space phenomena probability distribution row space singular value decomposition spatiotemporal data spectral representation square matrices statistics stochastic processes subjective decisions theoretical science time series timescale tornado variables vectors |
| ISBN | 1-4008-4063-5 |
| Classificazione | SCI019000MAT002050 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Frontmatter -- Contents -- Preface -- Acknowledgments -- Part 1. Foundations -- One. Introduction and Motivation -- Two. Notation and Basic Operations -- Three. Matrix Properties, Fundamental Spaces, Orthogonality -- Four. Introduction to Eigenanalysis -- Five. The Algebraic Operation of SVD -- Part 2. Methods of Data Analysis -- Six. The Gray World of Practical Data Analysis: An Introduction to Part 2 -- Seven. Statistics in Deterministic Sciences: An Introduction -- Eight. Autocorrelation -- Nine. Regression and Least Squares -- Ten. The Fundamental Theorem of Linear Algebra -- Eleven. Empirical Orthogonal Functions -- Twelve. The SVD Analysis of Two Fields -- Thirteen. Suggested Homework -- Index |
| Record Nr. | UNINA-9910823944403321 |
|
Eshel Gidon <1958->
|
||
| Princeton : , : Princeton University Press, , [2012] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||