gaomun

matla code for PID controler

说明：  一、 实验目的 1 熟悉MATLAB环境。 2 掌握MATLAB矩阵输入、运算以及MATLAB的数值运算功能。 3 掌握各种数据的创建‘访问，扩建，缩减。创建一个2*2元胞数组，扩充和缩减 (First, the experimental purpose a familiar MATLAB environment. 2 master MATLAB matrix input, operation and function of MATLAB numerical computing. 3 master data to create a variety of ' access, expansion, reduction. Create a 2* 2 array of cellular expansion and reduction)

根据时域信号计算三分之一倍频程下的加速度有效值及功率谱(calculate rms in 1/3 oct freq domain)

matlab下的绘制等温线的源程序，有对等温线加密，值得借鉴(Under matlab draw isotherm source, there is encryption on isotherm, is worth learning)

用于对复杂流场的POD分析，对流场结构进行解构重组(PODDEM is a state of the art detection and estimation method for outliers in Particle Image Velocimetry data. PODDEM can be used on two-dimension and three dimensional data, with up to three velocity components.)

source code for pattern classification k nearest neighbor source code

Abstract— We propose a simple speech compression algorithm using subband division and ADPCM (Adaptive Differential Pulse Code Modulation) algorithm. Although speech data are stored in a semiconductor memory device, its capacity and the available network capacity are limited. Therefore, it is necessary to compress the data as much as possible. The first is that the reconstructed datum must be understood correctly. Speech signal is compressed with a ratio of 1/4 using the proposed subband division and ADPCM (Adaptive Differential Pulse Code Modulation) algorithm.

1维信号的周期性连续小波变换，包括对小波脊和骨架提取。(Periodic one-dimensional signal of continuous wavelet transform, including wavelet ridge and skeleton extraction.)

queues and stacks implementation

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.)