Hallen3

黄金分割法 可以解决 单峰函数 的极值问题 比较的准确和快速(Golden section method can solve the single-peak function of the extremum problem of accurate and rapid)

说明：  基于Pca的人脸自动识别源码 采用orl人脸库 最后出现识别数目(Automatically identify the source of Pca-based face orl face database last identification number)

语音识别系统matlab仿真的识别界面程序(Identification of the speech recognition system matlab simulation interface program)

基于PID控制的永磁同步直线电机速度控制系统，输出速度能够较好的跟踪输入信号，控制效果比较理想(The speed control system of permanent magnet synchronous linear motor based on PID control can track the input signal better, and the control effect is ideal.)

分四种情况实现fft 分别是时间抽取递归 、时间抽取循环、频率抽取递归和频率抽取循环 以及附带dft的算法描述(Fft realize sub-four cases were collected recursive time, time taken from the cycle, frequency and frequency of samples taken from recursive cycle, as well as incidental DFT algorithm described)

Speech Coding and Phoneme Classification Using MATLAB and NeuralWorks

说明：  程序实现汉明码的编码与译码，与一般程序不同，该程序具有良好的接口(Program for hamming code encoding and decoding, and the general procedure, this program has a good interface)

matlab编的一个支持向量机的数据分类和回归分析程序，很不错(matlab code of a support vector machine classification and regression data analysis program, very good)

基于阈值分割心音信号，阈值可根据信号调整，程序给出心音分割的起止位置。(Threshold-based segmentation of heart sound signals, the threshold can be adjusted according to the signal, the program gives the starting and ending positions of heart sounds segmentation.)

MIDACO是一般的优化问题求解器。 MIDACO可应用于连续（NLP），离散/整数（IP）和混合整数（MINLP）的问题。问题可能被限制在平等和/或不等式约束。 MIDACO适合多达数百至几千优化变量的问题。 MIDACO实现了一个自由衍生物，启发式算法的处理方法处理的问题，因为黑盒可含有关键功能特性，如非凸性，不连续或随机噪声。(MIDACO is a solver for general optimization problems. MIDACO can be applied to continuous (NLP), discrete/integer (IP) and mixed integer (MINLP) problems. Problems may be restricted to equality and/or inequality constraints. MIDACO is suitable for problems with up to several hundreds to some thousands of optimization variables. MIDACO implements a derivative-free, heuristic algorithm that treats the problem as black-box which may contain critical function properties such as non-convexity, discontinuities or stochastic noise.)