Grasp-and-Master--of-Matlab

水的沸腾程序，能和FLUENT一起做水的相变(Water boiling process, energy and FLUENT to do with the phase change of water)

Aircraft inertial navigation control system design and simulation platform implementations

本文说明了下载专用的工具箱（toolbox）以后系统提示出错的解决方法以及安装过程(This article describes the download special toolbox (toolbox) after the system prompts error solutions and the installation process)

单相全桥逆变器模型，测试OK，直接运行，需要的参考(Single phase full bridge inverter model)

改程序在Turbo C或Visual 6.0中编译，能够实现基2的快速的傅里叶变换。(Reform program in Turbo C or Visual 6.0 compiled, enables fast Fourier transform base 2.)

AUTOMATIC TEMPRATURE Report

说明 在此分类的PRJ我们试图通过分配给每个签名的两个不同的公司标识由一个特别号码提取水平和垂直扫描每幅图像矩阵。每个标志图片被截断成二进制后调整大小。这是由核心例行imcount.m，而主编testpng.m运行compelte测试结果显示出来。每个标识的痕迹便可以进一步处理像一个合适的神经网络学习，推理机等熵类分类指数使用的系统是更好的有关报告，从http://cag.dat下载的解释。 demokritos.gr/publications/TR2011-1.pdf。 该例程index0.m提取每个图像矩阵的行/列聚类分析，现在可以用来替换为最新版本的“cluster.m“另一包“DEC2NARY“我们Mathworks公司提供的帐户中。 MATLAB的MATLAB的版本7.4（R2007a）(Description In this prj we attempt to classify a number of Company Logos by assigning to each 2 distinct signatures extracted by a special horizontal and vertical scan of each image matrix. Each Logo picture is truncated to binary after resizing. This is done by the core routine imcount.m, while the main prog testpng.m runs a compelte test and displays results. Traces of each Logo could then be further processed by an appropriate learning system like a Neural Net, an Inference Engine, etc. The entropic-like index used for classification is better explained in the associated report downloadable from http://cag.dat.demokritos.gr/publications/TR2011-1.pdf. The routine index0.m used for extracting the cluster analysis of each image matrix row/col can now be replaced by a most recent version "cluster.m", contained in another package "DEC2NARY" available by our Mathworks account. MATLAB release MATLAB 7.4 (R2007a) )

带通滤波器，在信号处理时滤除直流分量和高频噪声，参数设置见程序说明。(The bandpass filter is used to filter the DC component and the high frequency noise in the signal processing. The parameter setting is explained by the program.)

对MPSk信号进行仿真，以及对其加入噪声后在接收端使用聚类算法进行识别，(On MPSk signal simulation, and after its receiver with noise clustering algorithm used to identify,)

说明：  LMS (Least Mean Squares): most basic canonical ANC algo FxLMS (Filtered eXtended Least Mean Squares): adds an additional learned filter for the secondary path signal - signal from cancellation speakers to users ears - to account for phase problems and audio coloration added during practical noise cancellation applications NLMS (Normalized Least Mean Squares): adds simple adaptively updated learning rate on top of LMS to speed convergence. FxNLMS (Normalized Filtered eXtended Least Mean Squares): combines FxLMS and NLMS FuNLMS (Filtered-u Last Mean Squares): adds an additional active LMS filter to FxNLMS to cancel out noise bleeding from the cancellation speaker to the error mic. Fairly robust but convergence not gaurunteed!