Clustering_Kmeans

对原始语音进行上采样和下采样，分析对比他们的时域图和频谱图。最后对比原始语音、75HZ激励、150HZ激励以及噪声激励下的效果(SOME SIMPLE MANIPULATIONS OF SOUND USING DIGITAL SIGNAL PROCESSING The original sound and its spectrogram Downsampling the waveform downsampling Upsampling the waveform Linear filtering the waveform Original speech The source-filter model of speech Speech with 75-Hz excitation Speech with 150-Hz excitation Speech with noise excitation)

Video Game Theory to develop game

说明：  一个关于线性卷积的程序，使用通过用托普利兹矩阵完成(Linear convolution of a program on the use of matrix completion by using Top Leeds)

image processing prograsms

三维的，基于image模型的房间混响模型的脉冲响应算法。(3-d room reverberation pulse response based on image model)

这是模式识别中最小错误率Bayes分类器设计方案。 自行完善了在不同先验概率的条件下，男、女错误率和总错误率的统计，放入各个数组当中。 全部程序由主函数、最大似然估计求取概率密度子函数、最小错误率贝叶斯分类器决策子函数三块组成。 调用最大似然估计求取概率密度子函数时，第一步获取样本数据，存储为矩阵；第二步对矩阵的每一行求和，并除以样本总数N，得到平均值向量；第三步是应用公式（3-43）采用矩阵运算和循环控制语句，求得协方差矩阵；第四步通过协方差矩阵求得方差和相关系数，从而得到概率密度函数。 调用最小错误率贝叶斯分类器决策子函数时，根据先验概率数组，通过比较概率大小判断一个体重身高二维向量代表的人是男是女。 主函数第一步打开“MAIL.TXT”和“FEMALE.TXT”文件，并调用最大似然估计求取概率密度子函数，对分类器进行训练。第二步打开“test2.txt”，调用最小错误率贝叶斯分类器决策子函数，然后再将数组中逐一与已知性别的数据比较，就可以得到不同先验概率条件下错误率的统计。 (This is the minimum error rate pattern recognition Bayes classifier design. Self- improvement prior probability in different conditions , male , female and total error rate error rate statistics , into which each array . All programs from the main function , maximum likelihood estimation subroutine strike probability density , the minimum error rate Bayesian classifier composed of decision-making three subfunctions . Strike called maximum likelihood estimate probability density subroutine , the first step to obtain the sample data , stored as a matrix the second step of the matrix, each row sum , and divided by the total number of samples N, be the average vector third step is to application of the formula ( 3-43 ) using matrix and loop control statements , obtain the covariance matrix fourth step through the variance-covariance matrix and correlation coefficient obtained , resulting in the probability density function . Call the minimum error rate decision Functions Bayesian)

capon波束形成器，也称MVDR波束形成器。 它试图使噪声以及来自非θ方向的任何干扰所贡献的功率为最小,但又能保持在观测方向θ上的信号功率不变(capon beam form)

应用MATLAB编写的图像分割程序。分割过程是，图像输入，边缘检测的计算(Applications written in MATLAB image segmentation procedures. Segmentation process, image input, the calculation of edge detection)

一种利用小波包变换进行盲信号分离的程序。(Program for blind source separation using wavelet packet transform.)

根据遗传算法和BP神经网络理论，在MATLAB软件中编程实现基于遗传算法优化的BP神经网络非线性系统拟合算法。(According to the theory of genetic algorithm and BP neural network, in the MATLAB software programming to realize BP neural network nonlinear systems based on genetic algorithm optimization fitting method.)