搜索资源列表
ICA_JADE
- 基于独立分量分析的JADE算法，非常实用。
Kalman工具箱
- Kalman工具箱,用做卡尔曼滤波的好工具！-Kalman toolbox,a good toolbox for carring out kalman filter.
EstChannelS
- 自己编写的uwb信道估计，希望对大家有用。-themselves prepared UWB channel estimation and we hope that the right useful.
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
kernel-ica1_2.tar
- 核ICA的工具箱，用于独立分分量分析，盲源信号分离（BSS）-nuclear ICA toolbox for independent sub-component analysis, Blind Source Separation (BSS)
PCA_NN
- PCA（主成分分析）算法被广泛应用于工程和科学研究中，本报告主要从PCA的基本结构和基本原理对其进行研究，常规的PCA算法主要采用线性算法，通过研究论证发现线性的PCA算法存在着许多不足，比如线性PCA算法不能从线性组合中把独立信号成分分离出来，主分量只由数据的二阶统计量—自相关阵确定，这种二阶统计量只能描述平稳的高斯分布等，因此必须对其进行改进，经改进后的PCA算法有非线性PCA算法、鲁棒算法等。我们通过PCA算法在直线（平面）中拟和
fpica
- fast Ica matlab算法，经过试验验证了，希望对大家有用处-fast algorithm, the test after test, we hope to be useful
imgBss
- 这个代码是用于独立主分量分析的核心部分，里边有现成的例子，说明的也比较详细了，希望大家西哈-this code is for the independent component analysis to the core, inside a ready example, Note also the more detailed, I hope you subjects
Informax_FastICA
- 用matlab实现扩展Informax算法和固定点算法Fast ICA，可对混合后信号进行独立分量分离-Informax with matlab algorithms and realize the expansion of fixed-point algorithm Fast ICA, can be mixed signals, independent component separation
FastICA25
- FastICA25－－快速独立分量分解算法-FastICA25 - fast independent component decomposition
icaimageprocessing
- 独立分量分析ICA，用于图像处理，程序不错，可以参考-Independent Component Analysis ICA, for image processing, the procedure well, can refer to
mycortexICAfigure
- 利用独立分量分析原理，设计卫星测控信号识别算法，其中输入信号由cortex标准测控终端给出-The use of independent component analysis theory, the design of satellite monitoring and control signal recognition algorithm, in which the input signal from the cortex is gi
ST4
- 独立分量分析之四阶距方法的程序，采用matlab编写-Independent component analysis of four bands from the methods of procedure for the preparation of matlab
jader
- 特征矩阵的联合对角化法（JADE），独立分量分析（ICA）的一种方法，用matlab编写-Characteristic matrix of the joint diagonalization method (JADE), independent component analysis (ICA) is a means to prepare with matlab
kkk
- 擅 蔓：以人脸的表情识别为实验背景， 分析了在对人脸表情的识别过程中，单个独立分薰对识别率的影响，由此进一步总结了在表情识 别中如何更有效地选取独立子空间，以实现在不影响识别率的前提下，减少用于构成独立子空问所需的独立分量的个数。 独立成分分析；表情识别；独立子空间 -Good man: Face to face identification for the experimental background, the analysi
ica
- 独立分量分析方法及在图像处理中的应用研究，一篇学位论文-IndePendent ComPonentl alysis(ICA) is a kind of Poweruf lmethod of rBlind SignalProeessing(BSP).
FastICAmatlabtoolbox
- FastICA的matlat软件包，独立分量分析(ICA)在模式识别（如人脸识别），信号分离等领域有着广泛的应用。-The FastICA package for MATLAB The FastICA package is a free (GPL) MATLAB program that implements the fast fixed-point algorithm for independent component analy
trained_blindandsemi-blinddetection-matlab
- 一篇基于独立分量分析（ICA）的盲信道MATLAB程序-1 Based on Independent Component Analysis (ICA) for blind channel MATLAB program
ICA_AND_PCA
- 关于独立分量分析和主成分分析的区别，初学者可以-the difference between independent component analysis and principal component analysis ，beginner can look at it
FastICA_21
- 快速独立分量变换，可用于信号特征的提取以及端点检测等，非常好用！-Fast independent component transform, can be used for the extraction of signal characteristics, such as endpoint detection, as well as very easy to use!