Model-based processing : (Record no. 69209)
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| 000 -LEADER | |
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| fixed length control field | 06287cam a2200733 i 4500 |
| 001 - CONTROL NUMBER | |
| control field | on1057238048 |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20220711203548.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 181009t20192019njua ob 001 0 eng |
| 019 ## - | |
| -- | 1090426790 |
| -- | 1090499652 |
| -- | 1090543366 |
| -- | 1090752829 |
| -- | 1090762750 |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| ISBN | 9781119457770 |
| -- | (electronic book) |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| ISBN | 1119457777 |
| -- | (electronic book) |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| ISBN | 9781119457787 |
| -- | (electronic publication) |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| ISBN | 1119457785 |
| -- | (electronic publication) |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| ISBN | 9781119457695 |
| -- | (electronic book) |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| ISBN | 1119457696 |
| -- | (electronic book) |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| -- | (hardcover) |
| 029 1# - (OCLC) | |
| OCLC library identifier | AU@ |
| System control number | 000064319362 |
| 029 1# - (OCLC) | |
| OCLC library identifier | CHNEW |
| System control number | 001048766 |
| 029 1# - (OCLC) | |
| OCLC library identifier | CHVBK |
| System control number | 565571656 |
| 029 1# - (OCLC) | |
| OCLC library identifier | UKMGB |
| System control number | 019269532 |
| 037 ## - | |
| -- | 9781119457787 |
| -- | Wiley |
| 082 00 - CLASSIFICATION NUMBER | |
| Call Number | 621.382/23 |
| 100 1# - AUTHOR NAME | |
| Author | Candy, James V., |
| 245 10 - TITLE STATEMENT | |
| Title | Model-based processing : |
| Sub Title | an applied subspace identification approach / |
| 300 ## - PHYSICAL DESCRIPTION | |
| Number of Pages | 1 online resource (xxv, 511 pages) |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc | "Provides a model-based "bridge" for signal processors/control engineers enabling a coupling and motivation for model development and subsequent processor designs/applications - Incorporates an in-depth treatment of the subspace approach that applies a variety of the subspace algorithm to synthesized examples and actual applications - Introduces new, fast subspace identifiers, capable of developing the required model for processing/controls Market description: Primary audience: advanced seniors, 1st year graduate student (engineering, sciences) Secondary audience: engineering professionals"-- |
| 505 0# - FORMATTED CONTENTS NOTE | |
| Remark 2 | Cover; Title Page; Copyright; Contents; Preface; Acknowledgements; Glossary; Chapter 1 Introduction; 1.1 Background; 1.2 Signal Estimation; 1.3 Model-Based Processing; 1.4 Model-Based Identification; 1.5 Subspace Identification; 1.6 Notation and Terminology; 1.7 Summary; MATLAB Notes; References; Problems; Chapter 2 Random Signals and Systems; 2.1 Introduction; 2.2 Discrete Random Signals; 2.3 Spectral Representation of Random Signals; 2.4 Discrete Systems with Random Inputs; 2.4.1 Spectral Theorems; 2.4.2 ARMAX Modeling; 2.5 Spectral Estimation |
| 505 8# - FORMATTED CONTENTS NOTE | |
| Remark 2 | 2.5.1 Classical (Nonparametric) Spectral Estimation2.5.1.1 Correlation Method (Blackman-Tukey); 2.5.1.2 Average Periodogram Method (Welch); 2.5.2 Modern (Parametric) Spectral Estimation; 2.5.2.1 Autoregressive (All-Pole) Spectral Estimation; 2.5.2.2 Autoregressive Moving Average Spectral Estimation; 2.5.2.3 Minimum Variance Distortionless Response (MVDR) Spectral Estimation; 2.5.2.4 Multiple Signal Classification (MUSIC) Spectral Estimation; 2.6 Case Study: Spectral Estimation of Bandpass Sinusoids; 2.7 Summary; Matlab Notes; References; Problems |
| 505 8# - FORMATTED CONTENTS NOTE | |
| Remark 2 | Chapter 3 State-Space Models for Identification3.1 Introduction; 3.2 Continuous-Time State-Space Models; 3.3 Sampled-Data State-Space Models; 3.4 Discrete-Time State-Space Models; 3.4.1 Linear Discrete Time-Invariant Systems; 3.4.2 Discrete Systems Theory; 3.4.3 Equivalent Linear Systems; 3.4.4 Stable Linear Systems; 3.5 Gauss-Markov State-Space Models; 3.5.1 Discrete-Time Gauss-Markov Models; 3.6 Innovations Model; 3.7 State-Space Model Structures; 3.7.1 Time-Series Models; 3.7.2 State-Space and Time-Series Equivalence Models; 3.8 Nonlinear (Approximate) Gauss-Markov State-Space Models |
| 505 8# - FORMATTED CONTENTS NOTE | |
| Remark 2 | 3.9 SummaryMATLAB Notes; References; Chapter 4 Model-Based Processors; 4.1 Introduction; 4.2 Linear Model-Based Processor: Kalman Filter; 4.2.1 Innovations Approach; 4.2.2 Bayesian Approach; 4.2.3 Innovations Sequence; 4.2.4 Practical Linear Kalman Filter Design: Performance Analysis; 4.2.5 Steady-State Kalman Filter; 4.2.6 Kalman Filter/Wiener Filter Equivalence; 4.3 Nonlinear State-Space Model-Based Processors; 4.3.1 Nonlinear Model-Based Processor: Linearized Kalman Filter; 4.3.2 Nonlinear Model-Based Processor: Extended Kalman Filter |
| 505 8# - FORMATTED CONTENTS NOTE | |
| Remark 2 | 4.3.3 Nonlinear Model-Based Processor: Iterated-Extended Kalman Filter4.3.4 Nonlinear Model-Based Processor: Unscented Kalman Filter; 4.3.5 Practical Nonlinear Model-Based Processor Design: Performance Analysis; 4.3.6 Nonlinear Model-Based Processor: Particle Filter; 4.3.7 Practical Bayesian Model-Based Design: Performance Analysis; 4.4 Case Study: 2D-Tracking Problem; 4.5 Summary; MATLAB Notes; References; Problems; Chapter 5 Parametrically Adaptive Processors; 5.1 Introduction; 5.2 Parametrically Adaptive Processors: Bayesian Approach |
| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| General subdivision | Digital techniques |
| -- | Mathematics. |
| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| General subdivision | Mathematical models. |
| 650 #7 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| General subdivision | Mechanical. |
| 650 #7 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| General subdivision | Mathematical models. |
| 650 #7 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| General subdivision | Digital techniques |
| -- | Mathematics. |
| 856 40 - ELECTRONIC LOCATION AND ACCESS | |
| Uniform Resource Identifier | https://doi.org/10.1002/9781119457695 |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Koha item type | eBooks |
| 264 #1 - | |
| -- | Hoboken, NJ : |
| -- | John Wiley & Sons, Inc., |
| -- | 2019. |
| 264 #4 - | |
| -- | ©2019 |
| 336 ## - | |
| -- | text |
| -- | txt |
| -- | rdacontent |
| 337 ## - | |
| -- | computer |
| -- | n |
| -- | rdamedia |
| 338 ## - | |
| -- | online resource |
| -- | nc |
| -- | rdacarrier |
| 520 ## - SUMMARY, ETC. | |
| -- | Provided by publisher. |
| 588 0# - | |
| -- | Online resource; title from digital title page (viewed on April 01, 2019). |
| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Signal processing |
| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Automatic control |
| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Invariant subspaces. |
| 650 #7 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | TECHNOLOGY & ENGINEERING |
| 650 #7 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Automatic control |
| -- | (OCoLC)fst00822712 |
| 650 #7 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Invariant subspaces. |
| -- | (OCoLC)fst00977981 |
| 650 #7 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Signal processing |
| -- | (OCoLC)fst01118294 |
| 994 ## - | |
| -- | C0 |
| -- | DG1 |
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