Title :
Wavelets, subband coding, and best bases
Author :
Ramchandran, Kannan ; Vetterli, Martin ; Herley, Cormac
Author_Institution :
Dept. of Electr. Eng., Illinois Univ., Urbana, IL, USA
fDate :
4/1/1996 12:00:00 AM
Abstract :
The emergence of wavelets has led to a convergence of linear expansion methods used in signal processing and applied mathematics. In particular, subband coding methods and their associated filters are closely related to wavelet constructions. We first review such constructions with a signal processing perspective. We then discuss the idea behind signal adapted bases and associated algorithms before showing how wavelets and subband coding methods are used in signal compression applications
Keywords :
band-pass filters; data compression; encoding; filtering theory; signal processing; wavelet transforms; algorithms; applied mathematics; best bases; filter banks; linear expansion methods; signal adapted bases; signal compression applications; signal processing; subband coding; subband coding methods; wavelet constructions; wavelets; Continuous wavelet transforms; Convergence; Filters; Fourier transforms; Signal processing; Signal processing algorithms; Time frequency analysis; Vectors; Wavelet transforms; Writing;
Journal_Title :
Proceedings of the IEEE
