#wavelet_for_multidimensional_signals_analysis
Wavelet for multidimensional signals analysis
Wavelets are often used to analyse piece-wise smooth signals. Wavelet coefficients can efficiently represent a signal which has led to data compression algorithms using wavelets. Wavelet analysis is extended for multidimensional signal processing as well. This article introduces a few methods for wavelet synthesis and analysis for multidimensional signals. There also occur challenges such as directivity in multidimensional case.
Wed 27th
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Wavelet for multidimensional signals analysis Discrete wavelet transform Digital signal processing Filter bank Multidimensional empirical mode decomposition Multirate filter bank and multidimensional directional filter banks Linear discriminant analysis Time series Principal component analysis Geophysical survey
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