DocumentCode :
1882225
Title :
Quantization model for multiresolution dyadic subband tree structure
Author :
Choi, Ginkyu ; Haddad, R.A.
Author_Institution :
Dept. of Electr. Eng., Polytechnic Univ., Brooklyn, NY, USA
Volume :
1
fYear :
1994
fDate :
31 Oct-2 Nov 1994
Firstpage :
177
Abstract :
Develops a methodology for the analysis of signal quantization effects in dyadic subband tree structures using the gain-plus-additive noise model for the pdf-optimized quantizer. The authors constrain the non-quantized and uncompensated structure to be PR (perfect reconstruction). They develop an equivalent polyphase structure, and compute the MSE (mean square error) using cyclostationary concepts in terms of (1) the allocated quantizer bits, (2) the filter coefficients, and (3) an embedded compensation parameter vector K¯. This MSE is then minimized over all three items above. The optimization method is applied to the specific case of a four channel dyadic tree. This tree is represented by an eight channel polyphase equivalent whose interchannel signals are correlated. The design of a 4-tap paraunitary structure is confirmed by simulation
Keywords :
digital filters; interference (signal); least mean squares methods; signal reconstruction; signal resolution; tree data structures; vector quantisation; 4-tap paraunitary structure; allocated quantizer bits; correlation; cyclostationary concepts; eight channel polyphase equivalent; embedded compensation parameter vecter; equivalent polyphase structure; filter coefficients; four channel dyadic tree; gain-plus-additive noise model; interchannel signals; mean square error; multiresolution dyadic subband tree structure; nonquantized structure; optimization method; pdf-optimized quantizer; perfect reconstruction; probability density function; signal quantization effects; uncompensated structure; Additive noise; Analytical models; Delay; Electronic mail; Filter bank; Quantization; Signal analysis; Signal resolution; Signal synthesis; Tree data structures;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signals, Systems and Computers, 1994. 1994 Conference Record of the Twenty-Eighth Asilomar Conference on
Conference_Location :
Pacific Grove, CA
ISSN :
1058-6393
Print_ISBN :
0-8186-6405-3
Type :
conf
DOI :
10.1109/ACSSC.1994.471440
Filename :
471440
Link To Document :
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