PSNRandSNR

Huffan codein and decoding

求K熵(Kolmogorov Entropy) GP算法 - KolmogorovEntropy_GPMain_KolmogorovEntropy_GP.m STB算法 - KolmogorovEntropy_STBMain_KolmogorovEntropy_STB.m(For K-entropy (Kolmogorov Entropy) GP algorithm- KolmogorovEntropy_GP Main_KolmogorovEntropy_GP.m STB algorithm- KolmogorovEntropy_STB Main_KolmogorovEntropy_STB.m)

This is not my work but a function I use often. It is much faster than the conv2 function in matlab

说明：  对一列数据进行各种常用变换 (On a variety of commonly used data transformations)

说明：  边缘检测，sobel，canny，Roberts，等算子边缘检测matlab代码(Edge detection, sobel, canny, Roberts, and other operator edge detection matlab code)

AngularJS权威教程,前端开发利器。 AngularJS权威教程目前最火的前端开发技术(AngularJS authority tutorials, front-end development tool. AngularJS authoritative guide front-end development is currently the hottest technology)

线性预测分析是最有效的语音分析技术之一，在语音编码、语音合成、语音识别和说话 人识别等语音处理领域中得到了广泛的应用。语音线性预测的基本思想是：一个语音信号的 抽样值可以用过去若干个取样值的线性组合来逼近。通过使实际语音抽样值与线性预测抽样 值的均方误差达到最小，可以确定唯一的一组线性预测系数。(Linear predictive analysis is one of the most effective voice analysis technology has been widely applied in the field of speech processing speech coding, speech synthesis, speech recognition and speaker recognition and the like. The basic idea of ​ ​ linear prediction of speech is: a voice signal sample values ​ ​ can be approximated by a linear combination of a plurality of sample values ​ ​ of the past. By making the actual speech sample mean square error of the value of the smallest linear prediction sample values, to determine a unique set of linear prediction coefficients.)

基于matlab,采用SVD方法，对数据进行EOF分解，求得基函数(Based on matlab, using SVD method, the data EOF decomposition, obtained basis functions)

复杂网络中基于谱分析的社区发现算法中，求解拉普拉斯矩阵的第二特征值（费德勒向量）代码(Spectral analysis of the complex network of community-based discovery algorithm for solving Laplace second eigenvalues ​ ​ of the matrix (Federer vector) code)

求解量子力学的薛定谔方程，说明见readme.txt，使用matlab编制。可以现运行start.m(Solving the Schrodinger equation of quantum mechanics that see readme.txt, prepared using matlab. Can now run start.m)