Title :
Optimum design of vector-quantized subband codecs
Author :
Jee, Innho ; Haddaad, R.A.
Author_Institution :
Sch. of Electron., Electr. & Comput. Eng., Hongik Univ., Chungnam, South Korea
fDate :
8/1/1998 12:00:00 AM
Abstract :
This article provides an approach for representing an optimum vector quantizer by a scalar nonlinear gain-plus-additive noise model. The validity and accuracy of this analytic model is confirmed by comparing the calculated model quantization errors with actual simulation of the optimum Linde-Buzo-Gray (1980) vector quantizer. Using this model, we form an MSE measure of an M-band filter bank codec in terms of the equivalent scalar quantization model and find the optimum FIR filter coefficients for each channel in the M-band structure for a given bit rate, filter length, and input signal correlation model. Specific design examples are worked out for four-tap filters in the two-band paraunitary case. These theoretical results are confirmed by extensive Monte Carlo simulation
Keywords :
FIR filters; band-pass filters; codecs; coding errors; correlation methods; filtering theory; noise; vector quantisation; LBG vector quantizer; Linde-Buzo-Gray vector quantizer; M-band filter bank codec; MSE measure; Monte Carlo simulation; VQ; accuracy; analytic model; bit rate; code book design; filter banks; filter length; four-tap filters; input signal correlation model; optimum FIR filter coefficients; optimum design; optimum vector quantizer; quantization errors; scalar nonlinear gain-plus-additive noise; scalar quantization model; simulation; two-band paraunitary filter; vector-quantized subband codecs; Bit rate; Channel bank filters; Codecs; Filter bank; Finite impulse response filter; HDTV; Image coding; Image reconstruction; Length measurement; Quantization;
Journal_Title :
Signal Processing, IEEE Transactions on
