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22 March 1996 Wavelet transforms and filter banks in digital communications
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Within the past few years, wavelet transforms and filter banks have received considerable attention in the technical literature, prompting applications in a variety of disciplines including applied mathematics, speech and image processing and compression, medical imaging, geophysics, signal processing, and information theory. More recently, several researchers in the field of communications have developed theoretical foundations for applications of wavelets as well. The objective of this paper is to survey the connections of wavelets and filter banks to communication theory and summarize current research efforts.
© (1996) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Alan R. Lindsey and Michael J. Medley "Wavelet transforms and filter banks in digital communications", Proc. SPIE 2762, Wavelet Applications III, (22 March 1996);

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