完整可用的压缩感知中的稀疏度自适应算法，matlab源代码

独立成份分析（ＩＣＡ）以及ｗｉｎｎｅｒ滤波 Source separation of complex signals with JADE. Jade performs `Source Separation in the following sense: X is an n x T data matrix assumed modelled as X = A S + N where o A is an unknown n x m matrix with full rank. o S is a m x T data matrix (source signals) with the properties a) for each t, the components of S(:,t) are statistically independent b) for each p, the S(p,:) is the realization of a zero-mean `source signal . c) At most one of these processes has a vanishing 4th-order cumulant. o N is a n x T matrix. It is a realization of a spatially white Gaussian noise, i.e. Cov(X) = sigma*eye(n) with unknown variance sigma. This is probably better than no modeling at all...( Source separation of complex signals with JADE. Jade performs `Source Separation in the following sense: X is an n x T data matrix assumed modelled as X = A S+ N where o A is an unknown n x m matrix with full rank. o S is a m x T data matrix (source signals) with the properties a) for each t, the components of S(:,t) are statistically independent b) for each p, the S(p,:) is the realization of a zero-mean `source signal . c) At most one of these processes has a vanishing 4th-order cumulant. o N is a n x T matrix. It is a realization of a spatially white Gaussian noise, i.e. Cov(X) = sigma*eye(n) with unknown variance sigma. This is probably better than no modeling at all...)

利用Matlab 画出透镜位相因子的分布（未进行近似展开前和近似后的）图形(Matlab to plot the distribution of the lens phase factor (approximate expansion and approximate) graphics)

在脉冲噪声情况下，基于分数低阶统计量的循环平稳信号的波达方向估计(In the case of impulse noise, DOA fractional lower order statistics of cyclostationary signal estimate)

Timoshenko beam in free vibrations 铁木辛柯梁单元自由振动(Timoshenko beam in free vibrations free vibration of Timoshenko beam element)

用基础知识编的matlab车牌识别的小程序，对于初学者而言有点帮助哦～(With a basic knowledge of license plate recognition matlab series of small programs, for the beginner a little help, oh ~)

基于matlab的elam神经网络模型源程序，反馈性神经网络，输出不仅与输入有关还与以前的输出有关。(Matlab neural network based model of elam source, feedback neural network, the output and input not only related with the previous output.)

现代信号处理教程清华版matlab例子源码，欢迎大家学习实用(Modern signal processing tutorial Tsinghua version matlab example source code, learn practical)

BPSK调制解调，通过插入导引进行信道估计的最简单simulink建模(the channel estimation)

说明：  对图像纹理特征进行提取，包括灰度共生矩阵、Lbp、小波等(Texture feature extraction of image, including gray level co-occurrence matrix, Lbp, wavelet and so on)

Given a set of x,y,z coordinates, find the best planar fit to the points via a least squares regression. Testing script "t_fitNormal" is also included to verify functionality and demonstrate usage.Sample Call > data = rand(50,3)*100; > data(:,3) = data(:,1) * .4 + data(:,2) * .6 + rand(50,1); > n = fitNormal(data,1)