MATLAB

情緒分析程式, 運用心跳和體溫綜合分析, 顯示在flash手機介面(emotion detection by heart-beat and body temperature. View the flash mobile interface.)

this code extract the feature from speech signal in many algorithms

This software release consists of an implementation of the algorithm described in the paper: H. R. Sheikh, A. C. Bovik, and G. de Veciana, "An Information Fidelity Criterion for Image Quality Assessment Using Natural Scene Statistics," IEEE Transactios on Image Processing, in publication, May 2005.

以天线方向图函数为例，分析了对称阵子天线、阵列天线方向图函数F(0， )随各参量变化的规律以及二维图形的特点，并讨论了直线天线阵(单向端射阵)的最大辐射方向和主瓣宽度随各参量变化的二维、三维图形特点。借助MATLAB的绘图功能，对各种天线的方向图函数的二维、三维图形进行研究，可以观察到天线辐射场在不同方向的辐射能量分布。直观清楚地表现出辐射方向图的特点。(Antenna pattern functions as an example to analyze the symmetry time around antenna array antenna pattern function F (0,) with each variation of parameters and characteristics of two-dimensional graphics, and discussed the linear antenna array (one-way end-fire array) The maximum radiation direction and the width of the main lobe of each parameter change with 2D and 3D graphics features. With MATLAB graphics functions for 2D and 3D graphics in a variety of antenna pattern function were studied, the antenna radiation field can be observed in the distribution of radiation energy in different directions. Features an intuitive clear demonstration of the radiation pattern.)

这个Matlab图形用户界面允许用户计算圆形，椭圆形和任意形状的广义极化张量。此计算的近似算法，该算法是基于Capdeboscq等人开发出一种方法。 (This Matlab GUI allows the user to compute the GPT of disks, ellipses, and arbitrary imported shapes. The approximating algorithm that does this computation is based off a method developed by Capdeboscq et al. )

清华大学张旭东老师的《现在信号处理》第一次大作业的代码，题目多年未变，代码正确高效。(This code is programed for for the first project for modern signal processing ,which is tought by Zhang Xudong in Qinghua University.)

fit_ML_normal - Maximum Likelihood fit of the normal distribution of i.i.d. samples!. Given the samples of a normal distribution, the PDF parameter is found fits data to the probability of the form: p(r) = sqrt(1/2/pi/sig^2)*exp(-((r-u)^2)/(2*sig^2)) with parameters: u,sig^2 format: result = fit_ML_normal( x,hAx ) input: x - vector, samples with normal distribution to be parameterized hAx - handle of an axis, on which the fitted distribution is plotted if h is given empty, a figure is created. output: result - structure with the fields sig^2,u - fitted parameters CRB_sig2,CRB_u - Cram?r-Rao Bound for the estimator value RMS - RMS error of the estimation type - ML

Fisher 线性判别分析算法matlab实现及感知器算法实现(Fisher linear discrimination analysis，perceptron)

基于不同window的LPFdesign( MATLAB programme for window-based FIR low-pass filter design )

Matlab计算器功能实现，包括Matalb源程序 (Matlab calculator function realization, including Matalb source)