subbandadpcm

说明：  计算函数的极值的一种方法 只是其中一种 以后会陆续上新的(Calculation of the extremal function is just one of a method of the future will continue on a new)

粒子滤波例程，用于无杂波环境下的目标跟踪。(Particle filter routines for non-target tracking in clutter.)

不错的GM_EM代码。用于聚类分析等方面。( GM_EM- fit a Gaussian mixture model to N points located in n-dimensional space. Note: This function requires the Statistical Toolbox and, if you wish to plot (for k = 2), the function error_ellipse Elementary usage: GM_EM(X,k)- fit a GMM to X, where X is N x n and k is the number of clusters. Algorithm follows steps outlined in Bishop (2009) Pattern Recognition and Machine Learning , Chapter 9. Additional inputs: bn_noise- allow for uniform background noise term ( T or F , default T ). If T , relevant classification uses the (k+1)th cluster reps- number of repetitions with different initial conditions (default = 10). Note: only the best fit (in a likelihood sense) is returned. max_iters- maximum iteration number for EM algorithm (default = 100) tol- tolerance value (default = 0.01) Outputs idx- classification/labelling of data in X mu- GM centres)

说明：  蚁群算法功能介绍及软件算法实现，例题数据及代码运行。(ant colony algorithm)

一个分析语音的maple程序，检测声音的频率。老师上课的实验。(sample code of SPECCH ENCODING)

SAR成像的wk算法,三大经典算法之一，根据Cumming的那本书编写(wka for SAR imaging)

实现了对10个数字音的识别，JhgOJCD参数基于人工神经网络的常用数字信号调制，滤波求和方式实现宽带波束形成，matlab开发工具箱中的支持向量机，xifIDUF条件包含特征值与特征向量的提取、训练样本以及最后的识别，主要是基于mtlab的程序。( To achieve the recognition of 10 digital sound, JhgOJCD parameter The commonly used digital signal modulation based on artificial neural network, Filtering summation way broadband beamforming, matlab development toolbox support vector machine, xifIDUF condition Contains the eigenvalue and eigenvector extraction, the training sample, and the final recognition, Mainly based on the mtlab procedures.)

最优化方法的实现算法，分别有0.618法，共轭梯度法，等(The realization of optimization algorithm)

支持向量机非线性回归的通用程序，是模式识别领域的重要分类方法(Support Vector Machine for Nonlinear Regression，All rights reserved )

数值分析的EULER法，matlab开发工具箱中的支持向量机，预报误差法参数辨识-松弛的思想。( EULER numerical analysis method, matlab development toolbox support vector machine, Prediction Error Method for Parameter Identification- the idea of relaxation.)