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Signal processing

The 320-page volume Signal Processing for Neuroscientists: An Introduction to the Analysis of Physiological Signals is targeted to neuroscientists and biomedical engineering students with backgrounds in mathematics, physics and computer programming. Focusing on averaging, Fourier analysis and filtering, it discusses techniques such as convolution, correlation, coherence and wavelet analysis, in the context of time- and frequency-domain analysis. It covers the full spectrum of signal analysis, from data acquisition to data processing, and from the mathematical background of the analysis to the application of processing algorithms. A goal is to enable the readers to construct their own analysis tools in an environment such as Matlab. Wim van Drongelen; !%Academic Press%!, an imprint of Elsevier, Burlington, Mass., 2006; $79.95, h66.95, paperbound.

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