all-kind-Fuzzy-Clustering

MATLAB图像处理工具箱函数,里面有非常多的图像处理函数，是用MATLAB处理图像的必备手册！(MATLAB image processing toolbox, there are many functions in the image processing function, it is the necessary MATLAB images manual!)

RTL8100 circuit application

基于matlab的随机数的生成，包括其他调用的函数，(Random number generation based on MATLAB, including other call function )

implement basic routines in Matlab and Octave (currently using Matlab R13) for simulating adaptive beamforming and filtering for antenna arrays.

matlab分析双边功率谱密度和单边功率谱密度(matlab analysis of bilateral and unilateral power spectral density power spectral density)

独立成分分析（Independent Component Analysis, ICA）是近年来发展起来的一种有效的盲分离技术，最早是由法国学者Herault和Jutten于1986年提出。ICA方法的提出最初是用来解决“鸡尾酒会”问题，其过程可以归纳为，在源信号与传输通道参数均未知的情况下，仅根据源信号的统计特性，出现测信号恢复出源信号。ICA分析的关键在于根据一定的优化准则建立描述输出信号独立程度的优化判据，即目标函数，并设计相应的优化算法，寻求最优的分离矩阵，使得输出信号中各分量尽可能相互独立。采用ICA方法对信号进行盲分离时，可避免过多地受大能量噪声成分的影响，将部分小能量信号源识别出来。随着ICA技术的不断发展，目前ICA技术已经广泛应用于语音增强、音频识别、通信、医学信号处理、金融数据挖掘、图像消噪、数字水印、遥感等领域，并取得了一定的研究成果。(Independent Component Analysis (ICA) Component ini order, developed in recent years is a kind of effective separation technology, originally from French scholars Herault and Jutten in 1986. The proposed method is initially ICA to solve the "cocktail" problem, the process can be divided into, in the source signal transmission channels and in the case of unknown parameters according to the source of the signals, and the statistical characteristics of recovering the source signal. According to the analysis of the ICA key lies in the establishment of optimal criteria described the output signal of the independent, objective function optimization criterion, and the corresponding optimization algorithm, the optimum )

group pattern in matlab source code

很实用的光伏并网发电系统模型建模及相关分析。(PV moedl)

建立正弦，矩形和白噪声的波形，然后对他们进行频谱分析。(Sine, rectangle and white noise waveform, and spectrum analysis.)

说明：  好东东，可以和MIMO OFDM 联合使用(good, and the joint use of MIMO OFDM)