Cargando…
Time frequency signal analysis and processing : a comprehensive reference /
This book is a collection of theory, techniques and algorithms used for the analysis and processing of non-stationary signals, as found in a wide range of applications including telecommunications, radar, and biomedical engineering. This book gives the university researcher and R & D engineer in...
| Clasificación: | Libro Electrónico |
|---|---|
| Otros Autores: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Amsterdam ; Boston :
Academic Press,
[2016]
|
| Edición: | Second edition. |
| Colección: | EURASIP and Academic Press series in signal and image processing.
|
| Temas: | |
| Acceso en línea: | Texto completo |
Tabla de Contenidos:
- Front Cover; Time-Frequency Signal Analysis and Processing: A Comprehensive Reference; Copyright; Dedication; Contents; Preface to the Second Edition; Acknowledgments; Preface to the First Edition; Acknowledgments; References; List of Contributors; Abbreviations; Book Standard Notations; Part I: A time-frequency tutorial; Chapter I: The Time-Frequency Approach: Essence and Terminology0; Introduction and Overview; I.1 Traditional Signal Representations; I.1.1 Origin and Types of Signals; I.1.2 Time-Domain Representation of Typical Signals.
- I.1.3 Frequency Domain Representation of Typical SignalsI. 1.4 Positive and Negative Frequencies; I.1.5 Relationship Between t Domain and f Domain Representations; I.1.5.1 Fourier transform pairs; I.1.5.2 Energy distribution of deterministic signals; I.1.5.3 Power distributions of random signals; I.1.6 Limitation of t Domain or f Domain Representations; I.2 Joint Time-Frequency Representations; I.2.1 Uncovering Hidden Information Using (t, f) Representations; I.2.2 Concept and Meaning of a (t, f) Representation; I.2.3 Signal Characteristics in (t, f) Representations.
- I.2.3.1 Finite-duration, finite-bandwidth signalsI. 2.3.2 Physical interpretation of TFDs; I.2.3.3 The uncertainty principle in the time-frequency domain; I.2.3.3.1 Consequences of the uncertainty principle for (t, f) relationships; I.2.3.4 Wavelets and time-scale methods; I.2.4 Historical Note: The Editor's view; I.3 An Overview of Remaining Chapters and Key (t, f) Issues; Part I: Foundations of TFSP: Spectrogram, WVD, and ambiguity functions; Chapter 1: Defining (t, f) signal models; Chapter 2: Formulating TFDs; Chapter 3: Multicomponent signal analysis using high-resolution TFDs.
- Part II: Fundamental methodsChapter 4: (t, f) Signal and system analysis; Chapter 5: Key issues in TFD design; Part III: TF methods; Chapter 6: TFSP algorithms and implementation issues; Chapter 7: Performance measure, selection, and implementation of TFDs; Chapter 8: Multisensor SP and multichannel data; Part IV: Statistical techniques; Chapter 9: (t, f) Noise analysis and random processes; Chapter 10: Estimating the IF; Chapter 11: (t, f) Synthesis and filtering; Chapter 12: Detection and estimation using TFDs; Part V: Engineering applications; Chapter 13: TFSP in telecommunications.
- Chapter 14: (t, f) Methods in radar, sonar, and acousticsChapter 15: (t, f) Diagnosis and monitoring; Chapter 16: Biomedical TFSP; Chapter 17: Getting started with the TFSAP software package; I.4 Conclusions and Advice to the Reader; I.5 Additional Exercises; References; Chapter 1: Time-Frequency and Instantaneous Frequency Concepts0; Introduction and Overview; 1.1 The Benefits of Time-Frequency Distributions (TFDs); 1.1.1 Representation of Three Real-Life Signals; 1.1.2 Time-Domain Representation; 1.1.3 Spectral Characteristics of Typical signals; 1.1.4 Joint Time-Frequency Representation.