搜索资源列表
icalab
- ICA:独立分量分析，基于MATLAB语言-ICA : Independent component analysis, based on MATLAB
dICA
- This a MATLAB code that performs Independent Component Analysis using a deflation approach.
fastica
- FASTICA - Fast Independent Component Analysis ％ ％ FastICA for Matlab 7.x and 6.x ％ Version 2.5, October 19 2005 ％ Copyright (c) Hugo G鋠ert, Jarmo Hurri, Jaakko S鋜el� and Aapo Hyv鋜inen. ％ ％ FASTICA(mixedsig) estimates the independent
melbankm
- melbank code for speech recognition essenial component yar
AMUSE
- AMUSE，独立成分分析(ICA)算法之一，用于混合语音信号的盲分离-AMUSE, algorithm of independent component analysis, used in blind speech signal separation.
fp
- 基于ICA的独立分量分析，目标函数是负熵，快速不动点算法-ICA-based independent component analysis, the objective function is negative entropy, fast fixed-point algorithm
ML
- 基于最大似然估计的独立分量分析算法，包括随机梯度算法，相对梯度算法，快速不动点算法3个程序-Based on maximum likelihood estimation of independent component analysis algorithms, including stochastic gradient algorithm, the relative gradient algorithm, fast fixed-point algorithm for three programs
VariableNoisySpeechEnhancementAlgorithmPerformance
- 语音增强是影响语音识别系统性能的重要成分。为了比较语音增强算法的性能，采用Matlab软件进行了数值仿真，对不同噪声环境下的语音用3种不同的方法进行降噪，采用信噪比、端点检测等方法来降噪效果，并对几种增强算法的性能进行了比较分析。结果表明，在变噪声环境下短时谱MMSE法最佳，谱减法和维纳滤波法各有优点。-Speech enhancement of voice recognition is an important component of system performance. In order
Principle_compoments_analysis
- 主成分分析的源代码，用matlab编写的-Principal component analysis of the source code using matlab