bit8

Particle displacement code

基于Hilbert-Huang变换的语音信号共振峰频率估计，一种对语音信号的分析方法(Based on the Hilbert Huang transform of speech signal formant frequency estimation, a method on the analysis of the speech signal)

matlabCT的重建的程序,希望对大家有所帮助。内含仿真头的程序。(matlabCT reconstruction program, we hope to help. The program includes the dummy head。)

说明：  电弧炉神经网络预测控制，三相。解耦控制，效果明显(Neural network predictive control of electric arc furnace, three-phase. Decoupling control, the effect is obvious)

时延下波束形成算法 matlab代码 欢迎下载(Time delay beamforming algorithm matlab code are welcome to download)

批处理for语句从入门到精通，讲述批处理的for语句的机制，目录如下： 一 前言 二 for语句的基本用法 三 for /f 含变量延迟 四 for /r 五 for /d 六 for /l(Batch for statements entry to the master, tells the story of a batch of for statements mechanism, directories are as follows: one preface Two basic uses of the for statement Three for /f with variable delay Four for /r Five for /d Six for /l)

从最常用的“.BMP”图像格式中读取图像数据, 通过访问数字图像RGB三个通道的对应矩阵，改变数字图像的色彩 将数字图像的RGB表示转换为YUV表示；通过访问Y（亮度）通道，改变数字图像的亮度；通过Y（亮度）通道作灰度的线性变换，改变数字图像的对比度(failed to translate)

基于小波分析和支持向量机的语音激活检测 一种方法(Based on wavelet analysis and support vector machine voice activity detection)

应用四步相移法实现包裹相位的解缠，另有解缠结果(Application of four step phase shifting method to achieve the wrapped phase unwrapping, otherwise the unwrapping results)

本文件包含Metropolis算法对函数进行抽样;显示生成样本的相关图和直方图. 其中文件：metropolis_hastings.m该文件包含4个示例，用于通过Metropolis-Hastings算法对复杂函数进行抽样，显示生成样本的相关图和直方图。metropolis_hastings2.m 包含一个例子，用于通过Metropolis-Hastings算法对双变量高斯PDF进行采样，显示生成样本的相关图和直方图，以及其轮廓和边缘PDF的函数等。(This program develops a very basic example, for the sampling of functions by means of Metropolis algorithm; showing the correlograms and the histogram of the generated samples. metropolis_hastings.m. This file contains four examples, for the sampling of complex functions by means of Metropolis-Hastings algorithm, showing the correlograms and the histograms of the generated samples. In this case the proposals PDF its no longer symmetric. Additionally, the burn-in period, the lag period and the Geweke test have been implemented.It needs the "MH_routine.m" function. metropolis_hastings2.m. This file contains one example, for the sampling of a bivariate Gaussian PDF by means of Metropolis-Hastings algorithm, showing the correlograms and the histograms of the generated samples, and the function with its contours and marginals PDF. Additionally, the burn-in period, the lag period and the Geweke test have been implemented.)