Description

Book Synopsis
Biomedical signal processing deals with: topics related to the acquisition and processing of biomedical signals for extracting information; and topics related to the interpretation of the nature of the physical processes that created the signals or how a given process alters the characteristics of a signal.

Trade Review
"This book provides a framework for understanding signal processing of biomedical signals and what it tells us about signal sources and their behavior in response to perturbation." (SciTech Book News Vol. 25, No. 2 June 2001)

Table of Contents
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.

Appendix.

Biomedical Signal Processing and Signal Modeling

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    A Hardback by Eugene N. Bruce

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      Book details

      Publisher John Wiley & Sons Inc
      Published 16 January 2001
      ISBN-13 9780471345404
      978-0471345404
      ISBN-10 0471345407
      Also in:
      Medical equipment, devices and techniques Electronics and communications engineering

      Description

      Book Synopsis
      Biomedical signal processing deals with: topics related to the acquisition and processing of biomedical signals for extracting information; and topics related to the interpretation of the nature of the physical processes that created the signals or how a given process alters the characteristics of a signal.

      Trade Review
      "This book provides a framework for understanding signal processing of biomedical signals and what it tells us about signal sources and their behavior in response to perturbation." (SciTech Book News Vol. 25, No. 2 June 2001)

      Table of Contents
      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.

      Appendix.

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