Vector quantization and signal compression
Vector quantization and signal compression
Elements of information theory
Elements of information theory
Fundamentals of statistical signal processing: estimation theory
Fundamentals of statistical signal processing: estimation theory
Digital Coding of Waveforms: Principles and Applications to Speech and Video
Digital Coding of Waveforms: Principles and Applications to Speech and Video
Memory-Based Vector Quantization of LSF Parameters by a Power Series Approximation
IEEE Transactions on Audio, Speech, and Language Processing
The Hadamard transform-a tool for index assignment
IEEE Transactions on Information Theory
On multiple description coding of sources with memory
IEEE Transactions on Communications
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A recently proposed method for transmission of correlated sources under noise-free conditions, power series quantization (PSQ), uses a separate linear or nonlinear predictor for each quantizer region, and has shown to increase performance compared to several common quantization schemes for sources with memory. In this paper, it is shown how to apply PSQ for transmission of a source with memory over a noisy channel. A channel-optimized PSQ (COPSQ) encoder and codebook optimization algorithms are derived. The suggested scheme is shown to increase performance compared with previous state-ofthe-art methods.