Hidetoshi Matsumura

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In this paper, we propose an ADPCM coder which uses a backward adaptive predictor based on the adap tive mel-cepstral analysis. The spectrum represented by the mel-cepstral coefficients has frequency resolution similar to that of the human ear which has high resolution at low frequencies. In the coder, since the transfer functions of noise shaping and(More)
In this paper, we introduce an FPGA-accelerated partial image retrieval engine, suitable for a visualized document search system. To achieve efficient sharing and reuse of digitized documents, this system has the function of partial duplicate image retrieval. To meet the demand for stability and speed, we introduced a brute-force matching of the BRIEF(More)
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