matlab

matlab应用实例-语音滤波程序，使对matlab编程的简单应用跟熟悉(matlab examples- voice filtering process, so that a simple application of matlab with the familiar programming)

用matalb仿真来判断无线传感器网络中的各个节点是否连通。其中包含判断连通率的函数和覆盖率的算法。可以计算最小发射功率。(Matalb simulation to determine whether the use of wireless sensor network each node connectivity. Which contains a function to determine connectivity rate and coverage algorithms. You can calculate the minimum transmission power.)

DWT of image using haar wavelet

单层感知器分类和权值调整过程，学习率分别为0.01 0.05 0.1 0.5(Single layer perceptron device classification and weights to adjust the process)

A Topic Modeling Toolbox Using Belief Propagation，一种用BP算法建立主题模型的算法，计算速度较快。有说明文档。(A Topic Modeling Toolbox Using Belief Propagation, a topic model established by BP algorithm algorithm to calculate faster. There documentation.)

仿真一个微电网历程,使用simulink2011b版本，包括光伏发电 风力发电 储能系统等。(simulate a micro grid by using simulink 2011b)

说明：  基于MATLAB的信号与系统仿真课件 基于MATLAB的信号与系统仿真课件需在MATLAB环境下运行，需运行本软件， 请先进入MATLAB，然后键入主程序名main.m(MATLAB-based signal and system simulation courseware MATLAB-based signal and system simulation courseware required to run in the MATLAB environment is required to run this software, please enter the MATLAB, and then type the name of the main program main.m)

Local Linear ApproximationLocal Linear ApproximationLocal Linear Approximation

实现彩色作图，可实现不同frame累计，并进行插值(Color mapping can be accumulated to achieve a different frame, and interpolation)

这个MATLAB软件包实现了小波在一维Gabior样转换的文件中所述： [1] K.N.乔杜里，M.，王凤琴，“建设希尔伯特变换的双 波基和Gabor变换，“对信号的IEEE交易 加工，第一卷。 57，没有。 9，3411-3425，2009年9月。 作者：K.N.乔杜里。 模块如下： --------------------------- 1。 demo.m 一个简单的例子演示软件的使用。 2。 autcorr.m 计算自相关函数的频率响应。 3。 filters.m 计算尺度和小波滤波器。 4。 projectionFilters.m 到近似计算的投影最小二乘过滤器 空间。 5。 analysis.m 计算复杂的小波子在不同的分辨率。 6。 synthesis.m 从低通逼近和重构原始信号 小波系数。 7。 displayResults.m 显示输入信号，真实，小波虚componenets 子带，在每一项决议和其modlus和相位，也是 重建信号和错误的。 8。 exception.m(This MATLAB package implements the Gabior-like wavelet transform in 1-dimension as described in the paper: [1] K.N. Chaudhury, M. Unser, "Construction of Hilbert Transform Pairs of Wavelet Bases and Gabor-Like Transforms," IEEE Transactions on Signal Processing, vol. 57, no. 9, pp. 3411-3425, September 2009. Author: K.N. Chaudhury. The modules are as follows: --------------------------- 1. demo.m Demonstrates the usage of the software with a simple example. 2. autcorr.m Computes the frequency response of the autocorrelation function. 3. filters.m Computes the scaling and wavelet filters. 4. projectionFilters.m Computes the filters for the least-squares projection onto the approximation spaces. 5. analysis.m Computes the complex wavelet subbands at different resolutions. 6. synthesis.m Reconstructs the original signal from the lowpass approximation and the wavelet coefficients. 7. displayResults.m Disp)