Lossless coding of audio signals using cascaded prediction

نویسندگان

  • Gerald Schuller
  • Bin Yu
  • Dawei Huang
چکیده

A novel predictive lossless coding scheme is proposed. The prediction is based on a new weighted cascaded least mean squared (WCLMS) method. WCLMS is especially designed for music/speech signals. It can be used either in combination with psycho-acoustically preltered signals (an idea presented in [1]) to obtain perceptually lossless coding, or as a stand-alone lossless coder. Experiments on a database of moderate size and a variety of preltered mono-signals show that the proposed lossless coder (which needs about 2 bit/sample for preltered signals) outperforms competing lossless coders, WaveZip, Shorten, LTAC and LPAC, in terms of compression ratios.

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تاریخ انتشار 2001