iprocess

1、对观测数据进行中心化，； 2、使它的均值为0，对数据进行白化—>Z； 3、选择需要估计的分量的个数m，设置迭代次数p<-1 4、选择一个初始权矢量（随机的W，使其维数为Z的行向量个数）； 5、利用迭代W(i,p)=mean(z(i,:).*(tanh((temp) *z)))-(mean(1-(tanh((temp)) *z).^2)).*temp(i,1)来学习W （这个公式是用来逼近负熵的） 6、用对称正交法处理下W 7、归一化W(:,p)=W(:,p)/norm(W(:,p)) 8、若W不收敛，返回第5步 9、令p=p+1，若p小于等于m,返回第4步 剩下的应该都能看懂了 基本就是基于负熵最大的快速独立分量分析算法(1, on the center of the observation data, 2, making a mean of 0, the data to whitening-> Z 3, select the number of components to be estimated m, setting the number of iterations p < -1 4, select an initial weight vector (random W, so that the Z dimension of the row vectors of numbers) 5, the use of iteration W (i, p) = mean (z (i, :).* (tanh ((temp) ' * z)))- (mean (1- (tanh ((temp)) ' * z). ^ 2)).* temp (i, 1) to learn W (This formula is used to approximate the negative entropy) 6 with symmetric orthogonal treatments W 7, normalized W (:, p) = W (:, p)/norm (W (:, p)) 8, if W does not converge, return to step 5 9 , so that p = p+1, if p less than or equal m, return to step 4 should be able to read the rest of the basic is based on negative entropy of the largest fast independent component analysis algorithm)

实现图像匀光，实现了MASK（马斯克）和Wallis匀光算法(附带参考文献)。(Image dodging, the MASK and Wallis dodging algorithm (with references).)

生成一个Gabor Patch的图形，可以调整图形尺寸、相位、旋转角度、对比度等各种参数，在基于PsychToolbox的实验程序编程中非常实用，可用作视觉刺激图形(Generate a Gabor patch, parameters like size, phase, angle and contrast are modifiable, useful in PsychToolbox programming, can be used as visual stimuli)

基于matlab软件的指纹识别程序，数据库。(Matlab-based program fingerprint recognition software, database.)

信号压缩传感的实现(正交匹配追踪法Orthogonal Matching Pursuit)(The realization of signal compression sensing)

用于图像去噪的代码，有模型去噪、双树复小波去噪，希望有帮助。(Code for image denoising, a denoising model dual tree complex wavelet denoising, hope to have help。)

利用非局部特性并结合低秩解法的图像降噪算法，速度很快(Nonlocal properties combined with low rank Solution image noise reduction algorithm, fast)

read envi headers images

对图形进行二维傅里叶变化后的频谱进行中心化(Centralization of the spectrum after two-dimensional Fourier transform)

给定原图像和降噪或者加了噪声之后的图像，计算峰值信噪比PSNR(calculate PSNR)