
Practical Signal Processing
Mark Owen(Author)
Cambridge University Press
Published on 17. May 2007
Book
Hardback
348 pages
978-0-521-85478-8 (ISBN)
Description
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, quantization, 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.
More details
Language
English
Place of publication
Cambridge
United Kingdom
Target group
Professional and scholarly
College/higher education
Dimensions
Height: 250 mm
Width: 175 mm
Thickness: 23 mm
Weight
780 gr
ISBN-13
978-0-521-85478-8 (9780521854788)
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Schweitzer Classification
Other editions
Additional editions

Mark Owen
Practical Signal Processing
Book
12/2012
Cambridge University Press
€64.60
Shipment within 15-20 days
Person
Mark Owen received his PhD in Speech Recognition from Cambridge University in 1992, after which he has worked in industry on digital signal processing applications in video, audio and radar. He is currently a freelance consultant in this, and related, fields.
Content
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.