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Quantization of Laguerre-Based Stereo Linear Predictors

Recently a quantization strategy for stereo linear prediction systems was proposed and tested using random data as input. This research is extended in the current paper by incorporating Laguerre filters in the stereo linear prediction scheme. First, it is shown that the associated normalized reflection matrices can be obtained efficiently. Second, the system was tested using stereo audio data in order to gain an insight into the required bit-rates for practical applications.

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