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.

Fundamentals of Digital Signals and Systems:
Digital Signals and Systems.
z-Transforms.
Digital Filter Design.
Classical Spectral Estimation Techniques:
Discrete and Fast Fourier Transform Algorithms.
The Periodogram and Blackman-Tukey.
Cepstrum Analysis.
Adaptive Filters:
Adaptive Noise Canceling.
Adaptive Line Enhancer.
Adaptive Zero-Tracking Methods.
Parametric Modeling Methods:
Autoregressive (AR) Method.
The Autoregressive Moving Average (ARMA) Method.
Prony's Method.