fft-matlab

说明：  蒙特卡罗马尔科夫链学习相关知识，了解马尔科夫和蒙特卡罗常用方法。(Markov chain Monte Carlo to learn relevant knowledge, understanding common Markov and Monte Carlo methods.)

实现Lagrange,Hermite,以及分段线性插值算法,需要用from * import *引用,如要使用lagrange, from lagrange import lagrange(Realize Lagrange, Hermite, and piecewise linear interpolation algorithm, need to quote from* import*, such as to use lagrange, from lagrange import lagrange)

Gray world function written in Matlab,

MATLAB用于AWGN信道中产生512点算法!(MATLAB for AWGN channel generated 512 points algorithm!)

自动识别图像中的圆形，并计算半径，及其相似度，希望有所帮助(Automatic identification of image circle, and calculate the radius, and its similarity, Hope that helps)

本程序给出了两种通信调制方式的matlab代码，可以提供给大家参考(This procedure gives the two communication modulation of matlab code that can be provided for your reference)

Thrown when a program attempts to cast a an object to a type with which it is not compatible.

The Block-Matching and 3D Filtering (BM3D) algorithm is a computationally scalable algorithm based on this novel denoising strategy. It achieves state-of-the-art denoising performance in terms of both peak signal-to-noise ratio and subjective visual quality.

所谓阶梯式控制，就是对未来控制量的变化加以约束，强迫未来控制量以一阶指数响应曲线的形式变化。在这种控制策略下，可以避免求解控制律时的矩阵求逆，且在处理约束限制时，可方便将 和 的约束转化为对 的约束，减少了算法计算量。(The so-called ladder-type control, is the change in the future to control the amount of bound, forced to the future control the amount of the first order exponential response curve in the form of change. In this control strategy, the control law can be avoided when solving the matrix inversion, and the limit in dealing with constraints, and constraints can easily be translated into constraints, reducing the computational algorithm.)

脱机手写体识别Matlab源程序 包括特征提取、bayes分类器、K近邻分类及最近邻分类。 TestScriptRecognition.m：测试代码 ScriptFeaExtract.m ：特征提取 KNearestEstimate.m ：K近邻估计 NearestEstimate.m : 最近邻估计 BayesTrain.m ：训练bayes分类器 Bayes.m ：测试bayes分类器 CrossValidate.m ：m交叉验证 (Offline Handwriting Recognition Matlab source including feature extraction, bayes classifier, K-nearest neighbor and nearest neighbor classifier. TestScriptRecognition.m : ScriptFeaExtract.m test code : Feature Extraction KNearestEstimate.m : K-nearest neighbor is estimated NearestEstimate.m : nearest neighbor is estimated BayesTrain.m : Training bayes classifier Bayes.m : Test bayes classifier CrossValidate.m : m cross-certification)