搜索资源列表
盲信号分离的现状和展望
- 盲信号分离的现状和展望-Blind Signal Separation : Status and Prospects
基于FIR神经网络的非线性盲信号分离
- 基于FIR神经网络的非线性盲信号分离-FIR based on the nonlinear neural network Blind Signal Separation
基于步长自适应的盲信号分离
- 基于步长自适应的盲信号分离-based Adaptive Step-Blind Signal Separation
基于非负矩阵分解算法进行盲信号分离
- 基于非负矩阵分解算法进行盲信号分离-based on non-negative matrix factorization algorithm for Blind Signal Separation
基于统计估计的盲信号分离技术
- 基于统计估计的盲信号分离技术-based on statistical estimates of the Blind Signal Separation Technology
瞬时混合盲信号分离问题的自适应算法比较
- 瞬时混合盲信号分离问题的自适应算法比较 可以作为参考
ICA 信号分离
- ICA 信号分离
基于最大信噪比的盲信号分离
- 基于最大信噪比的盲信号分离
盲信号分离的现状和展望
- 盲信号分离的现状和展望-Blind Signal Separation : Status and Prospects
基于FIR神经网络的非线性盲信号分离
- 基于FIR神经网络的非线性盲信号分离-FIR based on the nonlinear neural network Blind Signal Separation
基于步长自适应的盲信号分离
- 基于步长自适应的盲信号分离-based Adaptive Step-Blind Signal Separation
基于非负矩阵分解算法进行盲信号分离
- 基于非负矩阵分解算法进行盲信号分离-based on non-negative matrix factorization algorithm for Blind Signal Separation
基于统计估计的盲信号分离技术
- 基于统计估计的盲信号分离技术-based on statistical estimates of the Blind Signal Separation Technology
窄带信号提取
- 语音识别中的窄带信号提取函数,matlab版-Speech Recognition narrowband signal extraction function, Matlab version
qiaoduu
- 基于ICA的信号分离程序,是一个很好的信号处理方面的程序-based ICA signal separation procedure is a very good signal processing procedures
TFBSSpack
- 一个使用空间时频分布进行盲信号分离的Matlab程序,可以实现高信噪比下的随机信号分离-the use of space at a frequency distribution for the Blind Signal Separation Matlab procedures can achieve a high SNR of random signal separation
Basic_of_ICA
- 基于独立分量分析进行盲信号分离的原理简介和例程-based on independent component analysis for the Blind Signal Separation Principle and routines
ICAbss
- 串音误差检测,利用ica算法实现盲信号分离,以及检测输入信号叠加分离后的误差-crosstalk error detection algorithm using ica Blind Signal Separation. the input signal detection and separation of superposition error
ica_cdma
- 程序对盲信号分离空时多用户检测器的仿真 但在程序中A用了随机矩阵,而没有用空时阵列中的阵列响应矩阵。-procedures for Blind Signal Separation space-time multi-user detector simulation of the proceedings with the A random matrix, but not with an empty array when the resp
bss_ydm
- 可以实现若干个函数输入混合后盲信号分离的fastica算法应用-can achieve a number of functions in the importation of a mixture of the Blind Signal Separation fastica algorithm application