Time frequency signal analysis and processing : a comprehensive reference / edited by Boualem Boashash.

Format:

Book

Contributor:

Boashash, Boualem, editor.

Series:

EURASIP and Academic Press series in signal and image processing.

EURASIP and Academic Press Series in Signal and Image Processing

Language:

English

Subjects (All):

Signal processing.

Time-series analysis.

Frequency spectra.

Physical Description:

1 online resource (1070 p.)

Edition:

2nd ed.

Place of Publication:

London, England : Academic Press, 2016.

Summary:

Time-Frequency Signal Analysis and Processing (TFSAP) 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 insights into how to use TFSAP methods to develop and implement the engineering application systems they require.New to this edition:- New sections on Efficient and Fast Algorithms; a "Getting Started" chapter enabling readers to start using the algorithms on simulated and real examples with the TFSAP toolbox, compare the results with the ones presented in the book and then insert the algorithms in their own applications and adapt them as needed.- Two new chapters and twenty three new sections, including updated references.- New topics including: efficient algorithms for optimal TFDs (with source code), the enhanced spectrogram, time-frequency modelling, more mathematical foundations, the relationships between QTFDs and Wavelet Transforms, new advanced applications such as cognitive radio, watermarking, noise reduction in the time-frequency domain, algorithms for Time-Frequency Image Processing, and Time-Frequency applications in neuroscience (new chapter).- A comprehensive tutorial introduction to Time-Frequency Signal Analysis and Processing (TFSAP), accessible to anyone who has taken a first course in signals- Key advances in theory, methodology and algorithms, are concisely presented by some of the leading authorities on the respective topics- Applications written by leading researchers showing how to use TFSAP methods

Contents:

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

1.1.5 Desirable Characteristics of a TFD

Notes:

Description based upon print version of record.

Includes bibliographical references at the end of each chapters and index.

Description based on online resource; title from PDF title page (ebrary, viewed December 28, 2015).

ISBN:

9780123985255

0123985250