Digital Signal Processing: Principles, devices and applications

by N.B. Jones, J.D.McK. Watson

Overview

Recent progress in the design and production of digital signal processing (DSP) devices has provided significant new opportunities to workers in the already extensive field of signal processing. It is now possible to contemplate the use of DSP techniques in cost-sensitive wide bandwidth applications, thereby making more effective use of the large body of available signal processing knowledge. Digital signal processing, long the province of telecommunications is, in both research and applications contexts, of growing importance in fields of medical signal analysis, industrial control (particularly robotics), in the analysis and synthesis of speech and in both audio and video entertainment systems. The growing demand for engineering skills in these areas has led to the writing of this book and the presentation of the material of the book at an lEE-sponsored Vacation School at the Universityof Leicester.

This book is different from others in the field in that it not only presents the fundamentals of DSP ranging from data conversion to z-transforms and spectral analysis, extending this into the areas of digital filtering and control, but also gives significant detail of the new devices themselves and how to use them. In addition to presenting the basic theory and describing the devices and how to design with them, the material is consolidated by extensive use of real examples in specific case studies.

The book is directed at readers with first degree level training in engineering, physical sciences or mathematics and with some understanding of electronics, and is appropriate for design engineers in industry, users of DSP devices in scientific research and in all technical development areas associated with the processing of signals for display, storage, transmission or control.

Product Details

ISBN-13:	9780863412103
Publisher:	The Institution of Engineering and Technology
Publication date:	06/30/1990
Series:	Control, Robotics and Sensors
Pages:	424
Product dimensions:	6.14(w) x 9.21(h) x (d)

Table of Contents

• Chapter 1: Introduction - Engineering and Signal Processing
• Chapter 2: Devices overview
• Chapter 3: Discrete signals and systems
• Chapter 4: Z-transforms
• Chapter 5: Fourier series and the discrete Fourier transform
• Chapter 6: The FFT and other methods of discrete Fourier analysis
• Chapter 7: Introduction to digital filters
• Chapter 8: FIR filter design methods
• Chapter 9: IIR filter design methods
• Chapter 10: Quantisation and rounding problems in digital filters
• Chapter 11: State space control
• Chapter 12: Kalman filters
• Chapter 13: Implementation of digital control algorithms
• Chapter 14: Comparison of DSP devices in control systems applications
• Chapter 15: Digital communication systems
• Chapter 16: Simulation of DSP devices and systems
• Chapter 17: Review of architectures
• Chapter 18: DSP chips - a comparison
• Chapter 19: Microcontrollers
• Chapter 20: Systolic arrays for high performance digital signal processing
• Chapter 21: Throughput, speed and cost considerations
• Chapter 22: A case study of a DSP chip for on-line monitoring and control in anaesthesia
• Chapter 23: A case study on digital communication systems
• Chapter 24: Digital filters - a case study
• Chapter 25: Speech processing using the TS32010 - a case study
• Chapter 26: A case study in digital control
• Chapter 27: Implementation and performance of digital controllers
• Chapter 28: Review and outlook for the future

Editorial Reviews

Papers of a school held by the IEE at U. of Leicester, Mar. 1990. While it presents the fundamentals of DSP ranging from data conversion to z-transforms and spectral analysis, extending this into areas of digital filtering and control, it also gives significant details of the new devices themselves and how to use them. Assumes a first degree in engineering, physical sciences or mathematics and an understanding of electronics. Annotation c. Book News, Inc., Portland, OR (booknews.com)

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