The book provides theory and applications of the Fourier-Bessel (FB) decomposition. It includes separation of components of multi-component non-stationary signals by using the FB expansion. The relation between the frequency and the order of the FB expansion coefficients has been developed. The components which are disjoint in the frequency domain, can be separated using the FB coefficients. If the components are disjoint in the time-frequency domain, the time-order representation based on the FB expansion is used to ...
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The book provides theory and applications of the Fourier-Bessel (FB) decomposition. It includes separation of components of multi-component non-stationary signals by using the FB expansion. The relation between the frequency and the order of the FB expansion coefficients has been developed. The components which are disjoint in the frequency domain, can be separated using the FB coefficients. If the components are disjoint in the time-frequency domain, the time-order representation based on the FB expansion is used to separate the components. It also covers some of the real-time applications of the FB decomposition like speech formant separation, bat echolocation signal components separation, amplitude and frequency modulated (AM-FM) signal separation and segmentation of electroencephalogram (EEG) signal.
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Add this copy of Non-Stationary Signal Analysis: Methods Based on to cart. $56.51, very good condition, Sold by Prominent Trading Company rated 4.0 out of 5 stars, ships from Hereford, HEREFORDSHIRE, UNITED KINGDOM, published 2010 by LAP LAMBERT Academic Publishing.
Add this copy of Non-Stationary Signal Analysis: Methods Based on to cart. $124.66, good condition, Sold by Bonita rated 4.0 out of 5 stars, ships from Santa Clarita, CA, UNITED STATES, published 2010 by LAP LAMBERT Academic Publishin.
