A split signal polynomial as a model of an impulse noise filter for speech signal recovery

被引:9
作者
Solovyeva, E. B. [1 ]
机构
[1] St Petersburg Electrotech Univ, 5 Prof Popov Str, St Petersburg 197376, Russia
来源
INTERNATIONAL CONFERENCE ON INFORMATION TECHNOLOGIES IN BUSINESS AND INDUSTRY 2016 | 2017年 / 803卷
关键词
D O I
10.1088/1742-6596/803/1/012156
中图分类号
O4 [物理学];
学科分类号
0702 ;
摘要
The synthesis of the non-linear non-recursive digital filter of impulse noise on the basis of the splitting method in time domain is described. The filter recovers speech signals, distorted by impulse noise. The filter model is constructed as the splitting polynomial of an odd degree. The splitter is the time delay line, comprising the equal number of previous and subsequent samples with respect to the current time moment. The polynomial parameters result from solving an approximation problem in the mean-square norm. It is shown that the filter with the splitting model provides more precise speech signal recovery than the median and Volterra filters.
引用
收藏
页数:5
相关论文
共 10 条
  • [1] Giri F, 2010, BLOCK ORIENTED NONLI, P423
  • [2] Gonzalez R.C., 2009, Digital Image Processing, DOI 10.1117/1.3115362
  • [3] Gonzalez RC, 2008, DIGITAL IMAGE PROCES
  • [4] Lanne A A, 2000, RADIOELECTRONICS COM, V43, P3
  • [5] Marshall S, 2006, ADV NONLINEAR SIGNAL, P361
  • [6] Nelles O., 2001, NONLINEAR SYSTEM IDE
  • [7] Ogunfunmi T, 2007, SIGNALS COMMUN TECHN, P1, DOI 10.1007/978-0-387-68630-1
  • [8] Schetzen M, 2006, VOLTERRA WIENER THEO, P618
  • [9] Synthesis of neural pulse interference filters for image restoration
    Solovyeva E.B.
    Degtyarev S.A.
    [J]. Radioelectronics and Communications Systems, 2008, 51 (12) : 661 - 668
  • [10] Trussell HJ, 2008, FUNDAMENTALS OF DIGITAL IMAGING, P1, DOI 10.1017/CBO9780511754555