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Joint Signal Processing for Spherical Logarithmic Quantization and DPCM

机译:球形对数量化和DPCM的联合信号处理

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Spherical logarithmic quantization (SLQ) is a vector quantization method for efficient digitizing analog signals at a high dynamic range as well as a high Signal-to-Noise Ratio (SNR) while preserving the original waveform as close as possible. Short vectors of samples are represented in sphere coordinates while correlations within the source signal are exploited by means of differential pulsecode modulation (DPCM). This paper introduces a solution for combining this vector quantization scheme with DPCM in the sense of a stepwise spherical quantization which results in an extreme reduction of computational effort with respect to the state of the art. Moreover an optimum indexing of the quantization cells covering the surface of a multidimensional unit sphere is presented for both the encoder and the decoder side.
机译:球面对数量化(SLQ)是用于在高动态范围内的与高信噪比(SNR)有效数字化模拟信号的矢量量化方法,同时保持原始波形尽可能接近。 样品的短矢量在球体坐标中表示,而通过差分脉冲调制(DPCM)利用源信号内的相关性。 本文介绍了将该矢量量化方案与DPCM在逐步球形量化的意义上结合的解决方案,这导致关于最先进的计算工作的极限降低。 此外,对于编码器和解码器侧,给出了覆盖多维单元球的表面的量化单元的最佳索引。

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