Akay M. Biomedical Signal Processing

Academic Press, 1994. — 388.Although several books on signal processing methods are available, none are written for graduate students in biomedical engineering departments or for researchers in medicine nor do they include biomedical applications. I felt that it was necessary to write a book that addresses the widely used signal processing techniques, with strong emphasis on biomedical applications.
The applications of modern signal processing techniques in medicine have improved the accuracy and the reliability of medical diagnoses. To encourage graduate biomedical engineering students to use these modern signal processing techniques in their research, I began teaching a graduate course entitled "Biomedical Signal Processing" in the Fall 1992 semester at Rutgers University. I repeated the same course in Spring 1993 at the request of graduate students. The first draft of this book was used as the textbook for the course. The valuable feedback and encouragement I received from the students strongly influenced the book's present content.
This book was written at the level of graduate or senior level biomedical students and can also be used as a reference by physicians and researchers in medicine.Fundamentals of Digital Signals and Systems
Digital Signals and Systems
The z-Transform
Digital Filter Design
Classical Spectral Estimation Techniques
Discrete and Fast Fourier Transform Algorithms
The Periodogram and Blackman-Tukey Methods
Cepstrum Analysis
Adaptive Fllters
Adaptive Noise Canceling
Adaptive Line Enhancer
Adaptive Zero-Tracking Methods
Parametric Modeling Methods
Autoregressive (AR) Methods
The Autoregressive Moving Average (ARMA) Method
Prony's Method
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