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memory-based vector quantization of LSF parameters by a power series approximation

IEEE TRANSACTIONS ON AUDIO SPEECH AND LANGUAGE PROCESSING 2007年第4期15卷 1146-1155页

作者： Eriksson, Thomas Norden, Fredrik Chalmers Dept Signals & Syst S-41296 Gothenburg Sweden Imego AB S-41133 Gothenburg Sweden

In this paper, memory-based quantization is studied in detail. We propose a new framework, power series quantization (PSQ), for memory-based quantization. With linear spectral frequency (LSF) quantization as the application, several common memory-based quantization methods (FSVQ, predictive VQ, VPQ, safety-net, etc.) are analyzed and compared with the proposed method, and it is shown that the proposed method performs better than all other tested methods. The proposed PSQ method is fully general, in that it can simulate all other memory-based quantizers if it is allowed unlimited complexity.

关键词： memory-based quantization spectrum coding speech coding vector quantization (VQ)

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Power Series quantization for Noisy Channels

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IEEE TRANSACTIONS ON COMMUNICATIONS 2010年第5期58卷 1405-1414页

作者： Persson, Daniel Eriksson, Thomas Linkoping Univ Dept Elect Engn S-58183 Linkoping Sweden Chalmers Univ Technol Dept Signals & Syst S-41296 Gothenburg Sweden

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-of-the-art methods.

关键词： Channel-optimized quantization noisy channels memory-based quantization spectrum coding

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On Multiple Description Coding of Sources with memory

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IEEE TRANSACTIONS ON COMMUNICATIONS 2010年第8期58卷 2242-2251页

作者： Persson, Daniel Eriksson, Thomas Linkoping Univ Dept Elect Engn S-58183 Linkoping Sweden Chalmers Univ Technol Dept Signals & Syst S-41296 Gothenburg Sweden

We propose a framework for multiple description coding (MDC) of sources with memory. A new source coding method for lossless transmission of correlated sources, power series quantization (PSQ), was recently suggested. PSQ uses a separate linear or non-linear predictor for each quantizer region, and has shown increased performance compared to several common quantization schemes for sources with memory. We propose multiple description PSQ as a special case within our framework. The suggested scheme is shown to increase performance compared with previous state-of-the-art MDC methods.

关键词： Channel-optimized quantization packet erasure channel memory-based quantization

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