采用块大小自适应和高分辨率光谱建模的变换域量化自适应预测编码

B. Bhaskar
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引用次数: 1

摘要

Bhaskar(1991)提出了带变换域量化的自适应预测编码(APC-TQ)技术,用于音频信号的压缩。从那时起,发生了重大发展,导致编码率降低。同时增强音频质量。这些发展包括(i)使用块大小自适应来利用信号平稳性的变化,(ii)使用高达64阶的LPC分析阶数进行高分辨率频谱建模,以及(iii)自适应比特分配程序来最小化编码噪声功率并最小化编码噪声的感知。其结果是以17kbit /s的速率对5 kHz带宽的音频进行近乎透明的质量压缩。该技术将在低速率信道(如INMARSAT标准A、B和航空系统)上的AM质量音频节目的分发和传输中得到应用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Adaptive predictive coding with transform domain quantization using block size adaptation and high-resolution spectral modeling
The adaptive predictive coding with transform domain quantization (APC-TQ) technique was proposed by Bhaskar (1991) for the compression of audio signals. Since then, significant developments have taken place leading to a reduction in the coding rate. While enhancing the audio quality. These developments include (i) the use of block size adaptation to exploit the variations in the stationarity of the signal, (ii) high resolution spectral modeling using LPC analysis orders up to 64, and (iii) an adaptive bit-allocation procedure to minimize coding noise power as well as minimize the perception of coding noise. The result is a near transparent quality compression of 5 kHz bandwidth audio at a rate of 17 kbit/s. This technology will find applications in the distribution and transmission of AM quality audio programming over low rate channels such as the INMARSAT Standard A, B and aeronautical systems.<>
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