ToolboxIWS--deconverlution

代码说明：

  语音分离的研究在语音通信、声学目标检测、声音信号增强等方面有着重要的理论意义和实用价值。而将语音分离技术应用到智能机器人中。让机器人具有智能的听觉，实现声源定位和分离，确定说话人个数，进行人机对话等方面更具有广阔的应用前景。 (Separation of speech in voice communications, acoustic target detection, sound signal enhancement, and so has important theoretical significance and practical value. The voice separation technology applied to intelligent robots. Intelligent robot to the hearing, to achieve sound localization and separation, to determine the number of speaker, the man-machine dialogues in a more broad application prospects.)

文件列表：

core,512,2000-05-05
dcv_l.m,2225,2001-05-16
dcv_nl.m,2796,2001-05-16
deconvolution.zip,11743,2001-05-16
eps_dcv_nl.m,856,2001-05-16
estim_psi.m,766,2001-05-16
f.m,434,2001-05-16
filters.m,842,2001-05-16
graphic1.m,1615,2001-05-16
graphic1.mat,2272,2000-05-05
graphic2.m,5025,2001-05-16
graphic2.mat,2408,2000-05-05
graphic3.m,10409,2001-05-16
graphic3.mat,3592,2000-05-05
graphic4.m,9020,2001-05-16
graphic4.mat,3192,2000-05-05
main.m,198,2001-05-16
source.m,579,2001-05-16