پردازش سیگنال‌های بیومدیکال [منبع الکترونیکی]

Sophisticated techniques for signal processing are now available to the biomedical specialist! Written in an easy-to-read, straightforward style, Biomedical Signal Processing presents techniques to eliminate background noise, enhance signal detection, and analyze computer data, making results easy to comprehend and apply. In addition to examining techniques for electrical signal analysis, filtering, and transforms, the author supplies an extensive appendix with several computer programs that demonstrate techniques presented in the text. Content: Front Matter , Page iii Copyright , Page iv Dedication , Page v PREFACE , Pages xiii-xiv Introduction to Fundamentals of Digital Signals and Systems , Page 1 CHAPTER 1 - Digital Signals and Systems , Pages 3-21 CHAPTER 2 - The z-Transform , Pages 22-33 CHAPTER 3 - Digital Filter Design , Pages 34-78 Introduction to Classical Spectral Estimation Techniques , Pages 79-80 CHAPTER 4 - Discrete and Fast Fourier Transform Algorithms , Pages 81-89 CHAPTER 5 - The Periodogram and Blackman–Tukey Methods , Pages 90-112 CHAPTER 6 - Cepstrum Analysis , Pages 113-136 Introduction to Adaptive Filters , Pages 137-138 CHAPTER 7 - Adaptive Noise Canceling , Pages 139-161 CHAPTER 8 - Adaptive Line Enhancer , Pages 162-178 CHAPTER 9 - Adaptive Zero-Tracking Methods , Pages 179-192 Introduction to Parametric Modeling Methods , Pages 193-194 CHAPTER 10 - Autoregressive (AR) Methods , Pages 195-251 CHAPTER 11 - The Autoregressive Moving Average (ARMA) Method , Pages 252-280 CHAPTER 12 - Prony's Method , Pages 281-300 APPENDIX - Relevant Programs , Pages 301-372 INDEX , Pages 373-377 Presents techniques for signal processing which eliminate background noise, enhance signal detection and analyze computer data. In addition to examining techniques for electrical signal analysis, filtering and transforms, the text contains computer programs which demonstrate these techniques.