Title :
Orthonormal and biorthonormal filter banks as convolvers, and convolutional coding gain
Author :
Vaidyanathan, P.P.
Author_Institution :
Dept. of Electr. Eng., California Inst. of Technol., Pasadena, CA, USA
fDate :
6/1/1993 12:00:00 AM
Abstract :
Convolution theorems for filter bank transformers are introduced. Both uniform and nonuniform decimation ratios are considered, and orthonormal as well as biorthonormal cases are addressed. All the theorems are such that the original convolution reduces to a sum of shorter, decoupled convolutions in the subbands. That is, there is no need to have cross convolution between subbands. For the orthonormal case, expressions for optimal bit allocation and the optimized coding gain are derived. The contribution to coding gain comes partly from the nonuniformity of the signal spectrum and partly from nonuniformity of the filter spectrum. With one of the convolved sequences taken to be the unit pulse function,,e coding gain expressions reduce to those for traditional subband and transform coding. The filter-bank convolver has about the same computational complexity as a traditional convolver, if the analysis bank has small complexity compared to the convolution itself
Keywords :
computational complexity; digital filters; encoding; filtering and prediction theory; signal processing; biorthonormal filter banks; coding gain; computational complexity; convolution; filter bank transformers; filter spectrum; filter-bank convolver; nonuniform decimation ratios; optimal bit allocation; orthonormal filter banks; signal spectrum; subband coding; uniform decimation ratio; Bit rate; Channel bank filters; Convolution; Convolutional codes; Convolvers; Discrete wavelet transforms; Filter bank; Fourier transforms; Signal synthesis; Transform coding;
Journal_Title :
Signal Processing, IEEE Transactions on