Vector quantization and signal compression
Vector quantization and signal compression
Experimental resuls of an evolution-based adaptation strategy for VQ image filtering
Information Sciences—Informatics and Computer Science: An International Journal - Special issue on evolutionary algorithms
Overlap and channel errors in adaptive vector quantization for image coding
Information Sciences—Informatics and Computer Science: An International Journal
Hadamard transform based fast codeword search algorithm for high-dimensional VQ encoding
Information Sciences: an International Journal
Optimal binary index assignments for a class of equiprobable scalar and vector quantizers
IEEE Transactions on Information Theory - Part 2
The Hadamard transform-a tool for index assignment
IEEE Transactions on Information Theory
A study of vector quantization for noisy channels
IEEE Transactions on Information Theory
Reconstruction error in waveform transmission (Corresp.)
IEEE Transactions on Information Theory
Minimization of mean-square error for data transmitted via group codes
IEEE Transactions on Information Theory
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In dynamic noisy communication channels, a channel bit error rate (BER) varies with time. When channel distortion measure D"c is a function of bit error rate, an optimal index assignment to minimize D"c is not as uniformly optimal as BER varies. The paper presents a new distortion measure called expected channel distortion (ECD). It is independent of the bit error rate by two proposed beta-type distributions in a multiple-error pattern. Additionally, any index assignment algorithm with ECD measure is mismatch-free. In other words, index assignment algorithms can be against channel mismatch even though BER varies with time in dynamic channels. The voice digitization in North American Telephone Systems (CCITT) is adopted to demonstrate the usefulness of the proposed measure.