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用matlab 编写的kalman filter 程序(using Matlab prepared by the Kalman filter process)

对要发送的序列进行上变频，上变频到21MHz后进行发送。(change the frequence uop to the one that suit for transmission,which here is 21MHz.)

基于matlab的光伏电池阵列仿真模型，可以真实反应光伏电池随时间及温度变化规律(Matlab array of photovoltaic cells based on the simulation model can accurately reflect the temperature of photovoltaic cells and the variation with time)

spectral subtraction

empirical formula with kaiser clc clear all fs=1000 fc=250 df=50 r=0.001 f=fc/fs dw=2*pi*(df/fs) a=-20*log(r) n=floor(((a-8)/(2.285*dw))+1) if a>50 b=0.1102*(a-8.7) elseif a>=21 && a<=50 b=0.5842*((a-21)^0.4)+0.07886*(a-21) elseif a<21 b=0.0 end w=kaiser(n,b) for i=1:n if i~=(n-1)/2 hd(i)= (2*f*sin((i-((n-1)/2))*2*pi*f))/((i-((n-1)/2))*2*pi*f) elseif i==(n-1)/2 hd(i)=2*f end end for j=1:n h(j)=w(j)*hd(j) end subplot(3,1,1), plot(w) subplot(3,1,2), plot(h) subplot(3,1,3), plot(h,n)

lasso算法，分为很多子类，可以单独运行(lasso algorithm)

1. 608组样本，第一列数字是标号，第二列数字是出现损坏的时间，第三列表示数据有效性，为0有效 2. 损坏时间是对数正态分布的，需要拟合 3. 求均值80%置信区间 4. 成本为m，价格为s，保证盈利20%，选取保修期 5. 比较保修期和拟合数据的均值 6. 若保修期就是拟合损坏时间的均值，求出利润率 loadd.m：加载样本数据，并选取有效数据 period.m：加载成本、价格数据，计算利润和保修期的关系(1.608 groups of samples, the first number is the label, the second column number is the time to appear damage, the third list shows the validity of the data, which is 0 effective. 2. damage times are logarithmic normal distribution and need to be fitted 3. mean in 80% confidence interval 4. the cost is m, the price is s, the profit is 20%, the warranty period is selected. 5. compare the mean value of the warranty period and the fitting data 6. if the warranty period is to fit the mean damage time, the profit rate is calculated. Loadd.m: load the sample data and select the valid data Period.m: loading cost, price data, and calculating the relationship between profit and warranty period)

easy code taking picture from web cam and showing the countours - use the logarithm filter

直接扩频序列的频谱分析，从DSSS信号的产生到接收，不错的直接扩频序列分析函数，以测试通过，有图产生(Spectrum analysis of direct sequence spread spectrum, from DSSS signal to produce received a good direct sequence spread spectrum analysis function to test, there are plans to produce)

两个MATLAB图像源码，图像御览，更换图像“皮肤”(2 MATLAB image source, image Yu Lan, the replacement image " skin" )