Academic Press Library in Signal Processing, Volume 1

1st Edition

Signal Processing Theory and Machine Learning

Editor-in-Chiefs: Sergios Theodoridis Rama Chellappa
Hardcover ISBN: 9780123965028
eBook ISBN: 9780123972262
Imprint: Academic Press
Published Date: 5th September 2013
Page Count: 1480
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Table of Contents


Signal Processing at Your Fingertips!

About the Editors

Section Editors

Section 1

Section 2

Authors Biography

Chapter 1

Chapter 2

Chapter 3

Chapter 4

Chapter 5

Chapter 6

Chapter 7

Chapter 8

Chapter 9

Chapter 10

Chapter 11

Chapter 12

Chapter 14

Chapter 15

Chapter 16

Chapter 17

Chapter 18

Chapter 19

Chapter 20

Chapter 21

Chapter 22

Chapter 24

Chapter 25

Chapter 26


Chapter 1. Introduction to Signal Processing Theory


1.01.1 Introduction

1.01.2 Continuous-time signals and systems

1.01.3 Discrete-time signals and systems

1.01.4 Random signals and stochastic processes

1.01.5 Sampling and quantization

1.01.6 FIR and IIR filter design

1.01.7 Digital filter structures and implementations

1.01.8 Multirate signal processing

1.01.9 Filter banks and wavelets

1.01.10 Discrete multiscale and transforms

1.01.11 Frames

1.01.12 Parameter estimation

1.01.13 Adaptive filtering

1.01.14 Closing comments


Chapter 2. Continuous-Time Signals and Systems



1.02.1 Introduction

1.02.2 Continuous-time systems

1.02.3 Differential equations

1.02.4 Laplace transform: definition and properties

1.02.5 Transfer function and stability

1.02.6 Frequency response

1.02.7 The Fourier series and the Fourier transform

1.02.8 Conclusion and future trends

1.02.9 Relevant Websites:

1.02.10 Supplementary data

1.02.11 Supplementary data



Chapter 3. Discrete-Time Signals and Systems



This first volume, edited and authored by world leading experts, gives a review of the principles, methods and techniques of important and emerging research topics and technologies in machine learning and advanced signal processing theory.

With this reference source you will:

  • Quickly grasp a new area of research 
  • Understand the underlying principles of a topic and its application
  • Ascertain how a topic relates to other areas and learn of the research issues yet to be resolved

Key Features

  • Quick tutorial reviews of important and emerging topics of research in machine learning
  • Presents core principles in signal processing theory and shows their applications
  • Reference content on core principles, technologies, algorithms and applications
  • Comprehensive references to journal articles and other literature on which to build further, more specific and detailed knowledge
  • Edited by leading people in the field who, through their reputation, have been able to commission experts to write on a particular topic


PhD students

Post Docs

R&D engineers in signal processing and wireless and mobile communications



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© Academic Press 2014
Academic Press
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About the Editor-in-Chiefs

Sergios Theodoridis Editor-in-Chief

Sergios Theodoridis acquired a Physics degree with honors from the University of Athens, Greece in 1973 and a MSc and a Ph.D. degree in Signal Processing and Communications from the University of Birmingham, UK in 1975 and 1978 respectively. Since 1995 he has been a Professor with the Department of Informatics and Communications at the University of Athens.

Affiliations and Expertise

Department of Informatics and Telecommunications, University of Athens, Greece

Rama Chellappa Editor-in-Chief

Affiliations and Expertise

University of Maryland, College Park, MD, USA