吴彭龙,,
孙蒙,
张星昱
陆军工程大学指挥控制工程学院 ??南京 ??210007
基金项目:国家自然科学基金(61402519)，江苏省优秀青年基金(BK20180080)
详细信息
作者简介:邹霞：男，1979年生，副教授，研究方向为语音信号处理等
吴彭龙：男，1995年生，硕士，研究方向为智能信息处理等
孙蒙：男，1984年生，讲师，研究方向为机器学习和语音处理等
张星昱：男，1994年生，硕士，研究方向为信息安全处理等
通讯作者:吴彭龙 17551050128@163.com
中图分类号:TN912.3计量
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被引次数:0
出版历程
收稿日期:2018-06-04
修回日期:2018-12-04
网络出版日期:2018-12-13
刊出日期:2019-04-01
An Adaptive Consistent Iterative Hard Thresholding Alogorith for Audio Declipping
Xia ZOU,Penglong WU,,
Meng SUN,
Xingyu ZHANG
The Army Engineering University of PLA, Nanjing 210007, China
Funds:The National Natural Science Foundation of China (61402519), The Natural Science Foundation of Jiangsu Province for Excellent Young Scholars (BK20180080)
摘要
摘要:一致迭代硬阈值(CIHT)算法在处理音频截幅失真中具有较好的性能。但是，在截幅程度较大时音频截幅修复的性能会下降。因此，该文提出一种基于自适应门限的改进算法。该算法自动估计音频信号截幅程度，根据估计的截幅程度信息，自适应调整算法中的截幅程度因子。与近年来提出的CIHT算法和一致字典学习算法(CDL)相比，该文所提算法能更好地重建音频信号，特别在音频信号截幅失真严重的情况。该算法的运算复杂度与CIHT相近，与CDL相比，拥有更快的运行速度，有利于实时实现。
关键词:音频信号处理/
截幅失真/
自适应门限/
一致迭代硬阈值
Abstract:Audio clipping distortion can be solved by the Consistent Iterative Hard Thresholding (CIHT) algorithm, but the performance of restoration will decrease when the clipping degree is large, so, an algorithm based on adaptive threshold is proposed. The method estimates automatically the clipping degree, and the factor of the clipping degree is adjusted in the algorithm according to the degree of clipping. Compared with the CIHT algorithm and the Consistent Dictionary Learning (CDL) algorithm, the performance of restoration by the proposed algorithm is much better than the other two, especially in the case of severe clipping distortion. Compared with CDL, the computational complexity of the proposed algorithm is low like CIHT, compared with CDL, it has faster processing speed, which is beneficial to the practicality of the algorithm.
Key words:Audio signal processing/
Clipping distortion/
Adaptive threshold/
Consistent Iterative Hard Thresholding (CIHT)
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https://jeit.ac.cn/article/exportPdf?id=83a39e63-3941-4f3f-8bec-545ef577200d
