genetic

可以用于二维图像评估程序，若稍微加改进可以作为识别方法(Two-dimensional image can be used in the assessment process, if a little can add to improve the method as a means of identification)

finds zero crossings of a speech signal

应用了文本框 文本区域 通过文本框输入数据和文字(Applied to the text box text area through a text box to enter the data and text)

运用分水岭的算法对图像进行分割 是一种新的方法，运用此方法，还可以对重叠的细胞进行分割(WATERSHED SEGMENTATION)

核函数主成分分析，用于数据的特征提取，对于训练样本的降维有较好的效果(Kernel principal component analysis, feature extraction for data, which can effectively reduce the dimension of training samples, the better)

说明：  极限学习机（ELM）的MATLAB完整实现程序，有完整注释并已测试通过，资源中包含了测试脚本和数据集，算法的原理和实现(The matlab implementation program of elm has a complete annotation and passed the test. The resource contains the test script and data set. The principle and implementation of the algorithm)

我们一般习惯于解线性方程，对于非线性方程我们可以借助matlab进行解答(We used solutions of general linear equation, the nonlinear equations can be answered with matlab)

说明：  为作业最终的仿真结果与分析 PL_free.m：free space path loss model PL_logdist.m: log-distance path loss model PL_lognorm.m: log-normal shadowing path loss model plot_PL_general.m: plot the figures itum.m: ITU M.1225 vehicular-B(120km/hr) channel model AWGN.m: create AWGN channel object(The final for the job simulation results and analysis PL_free.m: free space path loss model PL_logdist.m: log-distance path loss model PL_lognorm.m: log-normal shadowing path loss model plot_PL_general.m: plot the figures itum.m: ITU M.1225 vehicular-B (120km/hr) channel model AWGN.m: create AWGN channel object)

graphcuts算法，MATLAB编写，可以运行，能直观看到结果。(graph cuts algorithm，MATLAB prepared)

本程序描述了pca在人脸识别上的应用。并带有输入输出，可在人脸库上进行试验。(This procedure describes the pca in face recognition applications. And with the input and output can be tested on the face database.)