搜索资源列表
icacovb.m
- 一个盲信号分离的卷积方法，适合分离实际卷积混合的模型，希望对初学者有帮助。-Convolution of a blind signal separation method, suitable for separation of the real convolution mixture model, want to help beginners.
ICAforImage
- 一个对几幅图象进行盲信号分离的MATLAB程序。 分离性能还不错。-The pieces of an image for Blind Signal Separation of the MATLAB program. Separation performance is not bad.
DSB
- 载波频率不同的多个DSB信号混合后，在不知道源信号的情况下，将混合后的DSB信号分离出来-A different carrier frequency signals of multiple DSB after mixing the source signals without knowing the circumstances, would be a mixture of the DSB signal separation
FASTICA
- 在盲信号处理过程中，通过该算法实现信号分离-Blind source seperation
runme
- 解决忙信号处理问题的经典算法之一，可以实现信号分离-It can bss
ICA
- 基于最大信噪比的ICA算法，在盲信号分离中用处比较大-ICA algorithm based on maximum signal to noise ratio, useful in blind signal separation in the larger
gui
- fastICA的信号分离的界面的算法表示，须使用相对的fastica算法-interface arithmetic
ica_ng
- 盲信号分离中性能评价的串音误差分析的MATLAB程序-Performance Evaluation of blind signal separation in crosstalk error analysis of MATLAB program
voice
- 基于瞬时线形混合模型的语音信号分离的MATLAB程序-Instantaneous linear mixing model based on speech signal separation MATLAB program
work
- 自适应信号分离器，程序为MATLAB代码。-Adaptive signal separator, procedures for the MATLAB code.
speech2
- 为了提高语音分离算法的收敛速度以及分离性能，提出把拉普拉斯正态混合分布概率密度函数作为语音信号概率密度函数的估计，得到一个更加适合语音信号分离的激活函数，基于此函数提出一种快速语音分离算法.-In order to improve speech separation algorithm convergence speed and separation performance, raise the normal mixture distribution Laplace probability de
MP
- MP稀疏分解用于盲信号分离，图像压缩。去噪声等领域-MPsparse decomposition
Music
- music算法的MATLAB代码，用于实现多信号分离定位-music algorithm of MATLAB code for positioning multi-signal separation
source_model
- 盲信号分离的源信号模型，要更好的了解和利用时间序列的内在时间结构和复杂特性，通常可以采用相应的数学模型区近似描述各种类型的数据，该程序采用泛化自回归模型来产生盲源信号-Blind signal separation of the source signal model, we must better understand and leverage the structure of time series Neizai He Fuzatexing time can generally be ado
parraalgorithm
- 非稳定盲信号分离算法程序，可实现多个源信号分离。-Non-stable algorithm for blind signal separation procedures, separation of multiple source signals.
kurtICA
- 本科毕业论文，基于非高斯性最大化的盲信号分离方法，适合本科生做毕业设计。-Undergraduate thesis, based on maximization of non-Gaussian signal separation method, suitable for undergraduate students to do graduate design.
ICALABIPv2_0
- ICA算法可以将噪声信号分解为一系列独立的分量（ICs），这样就可以对各独立分量进行单独的研究和分析。首先叙述了柴油机噪声信号的特性。预测模型表明：发动机噪声信号满足ICA计算的要求。然后介绍了ICA模型的相关理论。举例说明ICA方法分离信号的有效性，以及ICA方法对小能量噪声的分离的有效性。连续小波变换来显示了各独立分量ICs在时频域内的特性。由采集信号分离得到噪声源信号可以作为发动机的理论预测和设计依据。-he ICA algorithm can be decomposed into a s
MATLAB
- 自适应信号 利用自适应信号分离器，可以有效的从白噪声中提取周期信号。现选取信号为正弦信号 ，宽带噪声信号为高斯白噪声，延迟D=50；收敛因子为 和 时的滤波效果。-Adaptive signal using adaptive signal separator, white noise can be effectively extracted from the periodic signal. Select the signal is sinusoidal signal, broadband no
code1
- 盲信号分离中的自然梯度算法，效果比较好！是最基本的用来进行盲信号分离的算法-Blind signal separation in the natural gradient algorithm, results were quite good! Is used for the most basic algorithm for Blind Signal Separation
mfa
- 用于盲信号分离的原代码，可以根据输入源信号的基本统计特征,由观测数据进行信号分离,最终恢复出源信号。 -Blind signal processing has become an emerging subject in signal processing in these years, which depends on the source signal statistical characteristics to separate the signals from the observa