Digital Signal Processing for Measurement Systems: Theory and Applications covers the theoretical as well as the practical issues which form the basis of the modern DSP-based instruments and measurement methods. It covers the basics of DSP theory before discussing the critical aspects of DSP unique to measurement science.
Key Features:
* Approaches signal processing through a unique measurement science perspective
* Covers both theory and state-of-the-art applications, from the sampling theorem to the design of FIR/IIR filters
* Includes important topics, for example, problems that arise when sampling periodic signals and the relationship between the sampling rate and the SNR
Author(s): Gabriele D'Antona, Alessandro Ferrero
Series: Information technology: transmission, processing and storage
Year: 2005
Language: English
Pages: 276
0387249664......Page 1
Information Technology: Transmission, Processing, and Storage......Page 3
Digital Signal Processing for
Measurement Systems......Page 4
CONTENTS......Page 7
CONTRIBUTORS......Page 12
PREFACE......Page 13
CHAPTER 1
THE DIGITAL SIGNAL PROCESSING......Page 14
CHAPTER 2
DISCRETE-TIME SIGNALS AND SYSTEMS......Page 18
CHAPTER 3
SIGNAL TRANSFORMATION FROM THE CONTINUOUS
TIME TO THE DISCRETE TIME DOMAIN......Page 46
CHAPTER 4
METHODS FOR THE REDUCTION OF THE LEAKAGE
ERRORS......Page 69
CHAPTER 5
ARCHITECTURE AND PERFORMANCE OF DSP-BASED
INSTRUMENTS......Page 95
CHAPTER 6
ANTI-ALIASING METHODS AND SAMPLING
STRATEGIES......Page 126
CHAPTER 7
DYNAMICAL DISCRETE SYSTEMS......Page 138
CHAPTER 8
FINITE IMPULSE RESPONSE (FIR) FILTERS......Page 189
CHAPTER 9
INFINITE IMPULSE RESPONSE (IIR) FILTERS......Page 231
REFERENCES......Page 273
