The principles of signal processing are fundamental to the
operation of many everyday devices. This book introduces the basic
theory of digital signal processing, with emphasis on real-world
applications. Sampling, quantisation, the Fourier transform,
filters, Bayesian methods and numerical considerations are covered,
then developed to illustrate how they are used in audio, image, and
video processing and compression, and in communications. The book
concludes with methods for the efficient implementation of
algorithms in hardware and software. Intuitive arguments rather
than mathematical ones are used wherever possible, and links
between various signal processing techniques are stressed. The
advantages and disadvantages of different approaches are presented
in the context of real-world examples, enabling the reader to
choose the best solution to a given problem. With over 200
illustrations and over 130 exercises including solutions, this
book will appeal to practitioners working in signal processing, and
undergraduate students of electrical and computer engineering.
目錄:
Preface
Part I. Foundations
1. Introduction
2. Sampling
3. Conversion between analogue and digital
4. The frequency domain
5. Filters
6. Likelihood methods
7. Numerical considerations
Part II. Applications
8. Audio
9. Still images
10. Moving images
11. Communications
12. Implementations
Answers to chapter exercises