摘要
为了分离超高斯与亚高斯信号,利用小波变换的高低频系数作为平滑因子,建立以分母作为预测误差的信噪比目标函数,优化目标函数以求解分离矩阵.仿真表明,该算法能够有效地分离出源信号.
In order to separate super-Gaussian and sub-Gaussian signals, this paper uses highand low-frequency coefficients of wavelet transform as smooth factors, then builds a signal-to-noise ratio objective function, which uses the denominator as prediction error and can be optimized to resolve separable matrix. Simulation shows that this algorithm can separate source signals effectively.
出处
《信息与控制》
CSCD
北大核心
2007年第6期696-701,共6页
Information and Control
基金
国家自然科学基金资助项目(60572026)
关键词
盲源分离
超高斯
亚高斯
小波变换
平滑因子
blind source separation
super-Gaussian
sub-Gaussian
wavelet transform
smooth factor