Vector quantization with size-constrained codebooks

R. Rao, W. Pearlman, W. Finamore
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引用次数: 2

Abstract

An algorithm for calculating lower bounds to the performance of all size-constrained vector quantizers has been derived earlier. Applications to the AR(1) source have shown that these lower bounds are very close to the actual rate-distortion curves, even for small sizes of the output alphabet. In this algorithm, however, the codebook changes with rate. In a number of applications it is desirable to operate with the same codebook. The authors modify the above algorithm to calculate lower bounds to the performance of all such multirate coders. An important conclusion is that constraining the codebook vectors does not degrade performance as compared to the size-only constrained case. The authors have proposed a practical alphabet and entropy constrained vector quantizer (AECVQ). This coder is obtained by modifying the ECVQ algorithm so that the codebook remains the same for all rates.<>
具有大小约束码本的矢量量化
计算所有大小约束矢量量化器性能下界的算法已经在前面推导过。对AR(1)源的应用表明,即使对于小尺寸的输出字母,这些下界也非常接近实际的率失真曲线。然而,在该算法中,码本随速率变化。在许多应用中,希望使用相同的码本进行操作。作者修改了上述算法来计算所有这些多速率编码器的性能下界。一个重要的结论是,与仅限制大小的情况相比,限制码本向量不会降低性能。作者提出了一种实用的字母熵约束矢量量化器(AECVQ)。该编码器是通过修改ECVQ算法获得的,使码本在所有速率下保持相同。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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