125 research outputs found

    Optimum quantization of a class of non-bandlimited signals

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    We consider the quantization of a special class of non bandlimited signals, namely the class of discrete time signals that can be recovered from their decimated version. Similar to sigma-delta modulation ideas, we show that we can obtain a great reduction in the quantization noise variance due to the oversampled nature of these signals. We then consider noise shaping by optimizing a pre- and post filter around the quantizer and develop a closed form expression for the coding gain of the scheme under study. The use of an orthonormal filter bank as a sophisticated quantizer is investigated and several examples are provided

    Statistically optimum pre- and postfiltering in quantization

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    Coding gain in paraunitary analysis/synthesis systems

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    Role of anticausal inverses in multirate filter-banks .I. System-theoretic fundamentals

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    On the spectral factor ambiguity of FIR energy compaction filter Banks

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    Classical sampling theorems in the context of multirate and polyphase digital filter bank structures

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    Generalized polyphase representation and application to coding gain enhancement

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    Factorability of lossless time-varying filters and filter banks

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    Linear phase cosine modulated maximally decimated filter banks with perfect reconstruction

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    Theory of optimal orthonormal subband coders

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