Description

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

Readership

PhD students

Post Docs

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

Consultants

Table of Contents

Introduction

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

Section 1: SIGNAL PROCESSING THEORY

Chapter 1. Introduction to Signal Processing Theory

Abstract

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

References

Chapter 2. Continuous-Time Signals and Systems

Abstract

Nomenclature

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

Glossary

References

Chapter 3. Discrete-Time Signals and Systems

Abstra

Details

No. of pages:
1480
Language:
English
Copyright:
© 2014
Published:
Imprint:
Academic Press
Electronic ISBN:
9780123972262
Print ISBN:
9780123965028