Bruce E.N. Biomedical Signal Processing and Signal Modeling

New York: John Wiley & Sons, 2001. — 450 p.A biomedical engineering perspective on the theory, methods, and applications of signal processing. This book provides a unique framework for understanding signal processing of biomedical signals and what it tells us about signal sources and their behavior in response to perturbation. Using a modeling-based approach, the author shows how to perform signal processing by developing and manipulating a model of the signal source, providing a logical, coherent basis for recognizing signal types and for tackling the special challenges posed by biomedical signals-including the effects of noise on the signal, changes in basic properties, or the fact that these signals contain large stochastic components and may even be fractal or chaotic. Each chapter begins with a detailed biomedical example, illustrating the methods under discussion and highlighting the interconnection between the theoretical concepts and applications.The Nature of Biomedical Signals
Memory and Correlation
The Impulse Response
Frequency Response
Modeling Continuous-Time Signals as Sums of Sine Waves
Responses of Linear Continuous-Time Filters to Arbitrary Inputs
Modeling Signals as Sums of Discrete-Time Sine Waves
Noise Removal and Signal Compensation
Modeling Stochastic Signals as Filtered White Noise
Scaling and Long-Term Memory
Nonlinear Models of Signals
Assessing Stationarity and Reproducibility