搜索资源列表
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
amuse
- 这是利用特征值分解的盲源分离的源函数文件，可以直接调用-This is the eigenvalue decomposition of Blind Source Separation of source function, can be called directly
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
fast_ICA
- 经典的fast ICA程序，用于盲信号的分离,希望能够对大家有帮助！-classic fast ICA procedures for the Blind Signal Separation, we hope to be able to help!
19870363BSS
- 盲分离程序，利用ICA独立分量分析的方法实现了线性混合信号的盲分离-Blind separation procedures, the use of independent component analysis ICA blind separation methods to achieve linear mixed signal
426466710fast_ICA
- 盲分离程序，利用fast_ICA独立分量分析的方法实现了线性混合信号的盲分离-Blind separation procedures, the use fast_ICA independent component analysis method to achieve a linear mixed-signal blind separation
57169speal
- 盲分离程序，利用FSATICA独立分量分析的方法实现了线性混合信号的盲分离-Blind separation procedures, the use FSATICA independent component analysis method to achieve a linear mixed-signal blind separation
negentropy
- 基于负熵的盲源分离算法，可以用于语音的盲分离，提高语音信号质量-Negative entropy algorithm based on blind source separation, can be used to blind separation of speech, improve the quality of voice signal
blind-source-separation
- 研究盲源分离的有用！基于Matlab 语言的-Useful Blind Source Separation! Based on Matlab
RLS
- 针对两路 QPSK 信号同频重叠的且存在频率漂移等单通道信号盲分离-Blind separation of single channel such as frequency drift and frequency shift in the same frequency of two QPSK signals
Sparse-blind-source-
- 盲源分离程序代码 用于信号处理和模态识别-Blind source separation program code for signal processing and modal identification
dspproject
- 对声音进行去噪，盲分离处理，并可进行变音，回音等特效处理，通过GUI界面集成-Sound denoising, blind separation processing, and can be accented, echo and other effects processing through the GUI interface integration
盲源分离
- 常用的盲分离算法有二阶统计量方法、高阶累积量方法、信息最大化（ Infomax ）以及独 立成分分析（ ICA ）等。这些方法取得最佳性能的条件总是与源信号的概率密度函数假设有关， 一旦假设的概率密度与实际信号的密度函数相差甚远，分离性能将大大降低。本文提出采用 核函数密度估计的方法进行任意信号源的盲分离，并通过典型算例与几种盲分离算法进行了 性能比较，验证了方法的可行性。(The commonly used blind separation algorithms include
2014-03-19-Focuss算法
- 主要实现源信号盲分离，注释比较清楚，能够运行，对于初学者帮助较大(The main source of blind separation of the signal, the note is relatively clear, able to run, for beginners to help larger)
ICA快速算法原理和程序
- FastICA算法是基于非高斯性最大化原则得到的一批处理算法。峭度和负熵都可以作为非高斯性的度量。(Advantages: applicable to any non-gaussian signal, blind separation algorithm with fast convergence speed and easy to use, without the need to choose the learning step, is the most widely used algorit
a_bad_geek-FastICA-master
- fastica算法，信号盲分离，专用于多通道混合数据的分离(FastICA algorithm, blind separation of signals, for the separation of multichannel mixed data)
用MATLAB来实现3个通道的语音盲源分离
- 盲分离算法，处理声音信号的分离，供语音识别使用(Blind separation algorithm, which handles the separation of sound signals, is used for speech recognition.)
语音信号混合与分离源代码
- 最经典的基于ICA实现的语音信号的采集、随机混合，再通过盲分离将混合后的语音信号分离(The most classical ICA-based speech signal acquisition, random mixing, and then the mixed speech signal is separated by blind separation.)
CFICA_11
- 盲分离代码,是实现卷积神经网络的盲分离matlab代码，其中附带有原理及其论文，是盲信号分离技术的一个好例子(Matlab code for blind separation of convolutional neural networks. Principles and papers are attached. It is a good example of blind signal separation technology.)
blind-source-separation
- 盲源分离(BSS: Blind Source Separation)，又称为盲信号分离，是指在信号的理论模型和源信号无法精确获知的情况下，如何从混迭信号(观测信号)中分离出各源信号的过程。盲源分离和盲辨识是盲信号处理的两大类型。盲源分离的目的是求得源信号的最佳估计，盲辨识的目的是求得传输通道的混合矩阵。(Blind source separation (BSS: Blind Source Separation), also known as blind signal separation, re