control

Hidden_Markov_model_for_automatic_speech_recognition This code implements in C++ a basic left-right hidden Markov model and corresponding Baum-Welch (ML) training algorithm. It is meant as an example of the HMM algorithms described by L.Rabiner (1) and others. Serious students are directed to the sources listed below for a theoretical description of the algorithm. KF Lee (2) offers an especially good tutorial of how to build a speech recognition system using hidden Markov models.

pid自适应控制器学习和程序大家学习，很好用的(请求权)

K-means算法MATLAB仿真，利用一副图像作为数据实现K聚类算法仿真(K-means algorithm, MATLAB simulation)

散点数据生成格网,2d,3d,vc6.0,matlab6.5(Source- scatter data generated grid)

采用小波变换对采集的原始信号进行去噪，并显示图像(Collected with the wavelet transform of the original signal denoising)

说明：  遗传算法解决TSP问题,能够运行,文件包含多个.M文件，打开主程序既可运行(Genetic algorithm to solve the TSP problem to be able to run)

地震数据的线性拉东变换，可以用来观察地震数据拉东域的形态(Linear Radon transform of seismic data, seismic data can be used to observe the morphology of Radon domain)

阵列信号处理的高分辨率估计，有CDF三角函数曲线/三维曲线图，能量熵的计算，Matlab实现界面友好，结合PCA的尺度不变特征变换(SIFT)算法，调试通过可以使用。( High-resolution array signal processing estimates, There CDF trigonometric curve/3D graphs, Energy entropy calculation, Matlab to achieve user-friendly, Combined with PCA scale invariant feature transform (SIFT) algorithm, Debugging can be used.)

for camera calibration

标准粒子群算法求解非线性方程，用MATLAB实现，并出仿真结果(The standard particle swarm algorithm for solving nonlinear equations, using MATLAB to achieve, and the simulation results)