摘要
提出了一种基于最佳小波包变换和SPIHT编码的语音信号压缩编码方法。该方法首先对语音信号进行小波包变换,求解最佳小波树,进行动态位分配,再用改进的SPIHT算法对变换后的小波系数进行压缩编码。并且采用了熵编码的方法进一步提高了压缩比。实验表明,该方法在较高的压缩比下能获得较好的信号重构质量,计算复杂度低,延迟小。
This paper proposes a new coding algorithm of speech compressing,which is based on best wavelet packet transform and SPIHT coding algorithm.The new approach applies the wavelet packet transform to process speech signal to obtain optimal wavelet tree to allocate the dynamic bits,and then uses the modified SPIHT coding algorithm to compress the coefficients from the wavelet packet transform.The entropy coding is also used to increase the compression ratio.The experiments indicate that the new approach can obtain better reconstructed speech signal quality under the condition of bigger compression ratio and have a low-complexity and low-delay.
出处
《计算机工程与应用》
CSCD
北大核心
2011年第9期142-145,共4页
Computer Engineering and Applications
基金
甘肃省科技攻关项目资助(No.2GS047-A52-002-07)
西北师范大学科技创新工程项目资助(No.NWNU-KJCXGC-03-24)
