hilbert

matalb/simulink model of half bridge inverter using PWM techniqui

说明：  事件触发控制的仿真，遗传算法简介，多智能体协同等问题(The simulation of event triggered control, the introduction of genetic algorithm and the related discussion of multi-agent cooperation.)

cell segmentation in matlab

用RBF网络，回归一个函数，从训练网络到对网络进行仿真，并给出网络的误差(With RBF network, a return to a function, from training of network to network simulation, and gives the network error)

matlab 仿真和应用，十分详细，对初学者有很大的帮助，属于学习通信必不可少的(matlab simulation and applications, very detailed, very helpful for beginners, an essential part of learning communication)

说明：  HFSS在MATALAB中的应用，很好的应用教材(HFSS 3D modeling applications in Matlab)

一个coded ofdm的程序(a coded ofdm procedures)

基于mean shift的图像跟踪,在matlab中实现，效果很好(mean shift based video tracking)

vc和matlab混合编程，调用matlab强大的计算数学库(vc and mixed matlab programming, matlab call powerful computational mathematics library)

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)