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基于最小熵的音频信号高频重建
Minimum Entropy Based High Frequency Reconstruction of Audio Signal
【摘要】 音频信号的有损压缩编码为实现高的压缩比,往往会将高频部分删除,这样势必导致音质下降。为此,很多研究工作围绕恢复高频展开,其技术统称为高频重建。提出了一种基于最小熵的方法进行高频重建,试验结果表明重建声音主观听觉良好。
【Abstract】 In audio coding, the high frequency components of signals will be removed for higher compression ratio, hence lead to great degradation of quality. Therefore, a new technique called high frequency reconstruction (HFR) comes out to improved the quality of reconstructed sound. This paper introduces a novel approach of HFR, which is based on minimum entropy. Experimental results show that the subjective testing of reconstructed sound is good.
【关键词】 数字音频;
高频重建;
最小熵;
谱估计;
【Key words】 Digital audio; High Frequency Reconstruction(HFR); minimum entropy; spectrum estimation;
【Key words】 Digital audio; High Frequency Reconstruction(HFR); minimum entropy; spectrum estimation;
- 【文献出处】 电声技术 ,Audio Engineering , 编辑部邮箱 ,2006年02期
- 【分类号】TN912.3
- 【被引频次】4
- 【下载频次】154