TY - JOUR
T1 - PERFORMANCE OF ENTROPY-CONSTRAINED BLOCK TRANSFORM QUANTIZERS.
AU - Farvardin, N.
AU - Lin, F. Y.
PY - 1985
Y1 - 1985
N2 - There are numerous techniques available for analog-to-digital conversion, or data compression, of discrete-time processes. They range from simple scalar (zero-memory) quantization or PCM, to more sophisticated schemes such as predictive encoding, tree encoding and multi-dimensional quantization. One of the most popular data compression schemes for encoding of correlated sources is block transform quantization. The main advantages associated with the block transform quantization scheme are: (i) good performance, and (ii) ease of implementation. We study the rate-distortion theoretic performance of optimal block transform quantization schemes on first-order stationary autoregressive processes. More precisely, we assume that blocks of length L of source outputs are operated upon by the Karhunen-Loeve transformation. Only summary is presented.
AB - There are numerous techniques available for analog-to-digital conversion, or data compression, of discrete-time processes. They range from simple scalar (zero-memory) quantization or PCM, to more sophisticated schemes such as predictive encoding, tree encoding and multi-dimensional quantization. One of the most popular data compression schemes for encoding of correlated sources is block transform quantization. The main advantages associated with the block transform quantization scheme are: (i) good performance, and (ii) ease of implementation. We study the rate-distortion theoretic performance of optimal block transform quantization schemes on first-order stationary autoregressive processes. More precisely, we assume that blocks of length L of source outputs are operated upon by the Karhunen-Loeve transformation. Only summary is presented.
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M3 - Conference article
AN - SCOPUS:0022211273
SN - 0732-6181
SP - 359
EP - 360
JO - Proceedings - Annual Allerton Conference on Communication, Control, and Computing
JF - Proceedings - Annual Allerton Conference on Communication, Control, and Computing
ER -