期刊文献+

长信号卷积的快速运算及其语音处理的应用 被引量:1

Fast Realization of Long Signal Convolution Computation and Its Application to Speech Processing
在线阅读 下载PDF
导出
摘要 通过对有限长信号卷积运算的快速算法分析,根据长序列信号的结构特点及卷积 运算的数学特征,提出了一种长信号快速卷积及相关的算法实现,给出了相应的C++算法程序 ,结合算术傅立叶变换进行了改进。并把该算法运用到实际的语音处理中,得到了较好的快 速和重建效果。 On the basis of analyzing the algorithm principle of fast convolutio n, according to the structure of long sequence signal and the mathematic charact eristic of linear convolution, the paper presents a fast realization of long sig nal convolution Computation, and the C++ algorithm programs are also given. The improvement is got together with arithmetic Fourier transform, meantime the fast and reconstruction effect is also got well when the algorithm is applied to spe ech signal processing.
作者 徐伟业
出处 《计算机工程》 CAS CSCD 北大核心 2004年第1期110-113,共4页 Computer Engineering
关键词 快速卷积 算术傅立叶变换 快速相关 语音信号处理 Fast convolution Arithmetic Fourier transform Fast correlation S peech signal processing
  • 相关文献

参考文献6

  • 1[1]JPEG2000 Part I Final Committee Verson 1.0 [S]. http://www.jpeg.org /FCD15444-1.htm. 2000
  • 2[2]Mallat S. A Theory for Multiresolution Signal Decomposition: the Wavelet Representation [J]. IEEE Tansaction on Pattern Analysis and Machine Intelligence, 1989,11(4):674-693
  • 3[3]Sophocles J, Orfanidis. Introduction to Signal Processing [M].Beijing: Tsinghua Publish House, 1999
  • 4[4]Tufts D W, Sadasiv G. The Arithmetic Fourier Transform [J]. IEEE ASSP Mag, 1988-01: 13-17
  • 5[5]Park H, Prasanna V K. Modular VLSI Architectures for Computing the Arithmetic Fourier Transform [J]. IEEE.Signal Processing, 1993,41(6): 2 236-2 246
  • 6[6]Daubechies I. Orthonormal Bases of Compactly Supported Wavelets [J]. Communication of Pure and Applied Mathematics, 1988,41(Ⅶ):901-996

同被引文献13

  • 1尹忠科,王建英,Pierre Vandergheynst.一种新的图像稀疏分解快速算法[J].计算机应用,2004,24(10):92-93. 被引量:14
  • 2尹忠科,王建英,邵君.基于原子库结构特性的信号稀疏分解[J].西南交通大学学报,2005,40(2):173-178. 被引量:36
  • 3尹忠科,王建英,Pierre Vandergheynst.基于GA和原子特性的信号稀疏分解[J].铁道学报,2005,27(3):58-61. 被引量:14
  • 4尹忠科,邵君,Pierre Vandergheynst.利用FFT实现基于MP的信号稀疏分解[J].电子与信息学报,2006,28(4):614-618. 被引量:25
  • 5MALLAT S,ZHANG Z.Matching pursuit with time-frequency dictionaries[J].IEEE Trans.on Signal Processing,1993,41(12):3397-3415.
  • 6COIFMAN R,WICKERHAUSER M.Entropy-based algorithms for best basis selection[J].IEEE Trans.Information Theory,1992,38:1713-1716.
  • 7ARTHUR P L,PHILIPOS C L.Voiced/unvoiced speech discrimination in noise using gabor atomic decomposition[C]//Proc.of IEEE ICASSP.Hong Kong:IEEE press,2003,I(4):820-828.
  • 8CHEN S,DONOHO D,SAUNDERS M.Atomic decomposition by basis pursuit[J].SIAM Journal on Scientific Computing,1999,20:33-61.
  • 9DAUBECHIES I.Time-frequency localization operators:a geometric phase space approach[J].IEEE Trans.Inform.Theory,1988,34:605-612
  • 10维纳·K·格尔,约翰·G·普罗克斯.刘树棠译.数字信号处理-使用MATLAB[M].西安:西安交通大学出版社,2002:158.

引证文献1

二级引证文献4

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部