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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    View other formats and editions of Biomedical Signal Processing and Signal Modeling by Eugene N. Bruce

    Publisher: John Wiley & Sons Inc
    Publication Date: 16/01/2001
    ISBN13: 9780471345404, 978-0471345404
    ISBN10: 0471345407

    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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