RMA

MeanShift运动目标跟踪 matlab程序 思路： 1.截取跟踪目标矩阵rect 2.求取跟踪目标的加权直方图hist1 3.读取视频序列中的一帧， 先随机取一块与rect等大的矩形，计算加权直方图hist2。 4.计算两者比重函数，如果后者差距过大， 更新新的矩阵中心Y，进行迭代（MeanShift是一种变步长可以迅速接近概率密度峰值的方法），直至一定条件后停止。 (MeanShift moving target tracking matlab program ideas: 1. Interception target tracking matrix rect 2. Strike target tracking weighted histogram hist1 3. Reading of a video sequence, first randomly selected one with such a large rectangle rect, calculate the weighted Histogram hist2. 4 Calculate the proportion of both functions, if the latter gap is too large, updated new matrix center Y, iterative (MeanShift is a variable step size can rapidly approaching the peak of the probability density method), until certain conditions stop.)

天线圣经 Antenna Theory 中的MATLAB实例，天线分析的MATLAB教程，(Antenna Bible Antenna, Theory of MATLAB instance, antenna analysis of MATLAB tutorial)

利用matlab实现kmeans聚类算法的简单实现代码(matlab kmens algrithom )

antenna design using matlab patch antenna.

该文件采用BBS算法能够实现盲信号的分离，分离效果很好，输入为两种信号的非线性叠加，经过仿真效果很明显！(The document can be achieved using BBS algorithm for blind signal separation, separation a good effect, input non-linear superposition of two kinds of signals, through simulation effect is obvious!)

matlab program numerical methods

new model for IDGFM gozare khatasaz

matlab图像对比度的计算 文件中包含许多不同对比度的图片 (Matlab image contrast calculation file contains many different contrast images)

用MATLAB函数fir1设计一个具有如下指标的线性相位FIR带通滤波器：阻带截止频率为0.55pi 和0.85pi，通带截止频率为0.65pi和 0.75pi，最大通带衰减为0.2dB，最小阻带衰减为42dB。分别利用下面的窗函数来设计滤波器：汉宁窗、汉明窗、布莱克曼窗。对于每种情况，给出其冲激响应系数并画出设计的滤波器的幅频响应。(Designed with a MATLAB function with the following indicators fir1 linear phase FIR band-pass filter: stopband cutoff frequency for the 0.55pi and 0.85pi, passband cutoff frequency of 0.65pi and 0.75pi, maximum passband attenuation is 0.2dB, minimum stopband attenuation of 42dB. Window functions were used to design the following filter: Hanning, Hamming window, Blackman window. For each case, given its impulse response filter coefficients and draw the design magnitude response.)

image processing by matlab