关于风电并网多目标经济调度

DES3200实验系统的模拟信号输出通道产生一个1KHz 的方波,然后利用信号输入通道对产生的方进行低通滤波,得到一个1KHz 的正弦信号，并使用CCS 的图形显示工具显示输入和输出的波形。这里我们使用的是一个46阶的对称结构的FIR低通滤波器，其采样频率Fs为25KHZ，通带截止频率 1KHZ，阻带截止频率为3KHZ，阻带衰减为-60dB。(DES3200 experimental system analog output channel generates a 1KHz square wave, and then use the signal input channels that produce low-pass filtering the square to get a 1KHz sinusoidal signal, and use the CCS' s graphical display tool shows the input and output waveforms. Here we use a symmetrical structure of 46-order FIR low-pass filter, the sampling frequency Fs to 25KHZ, passband cutoff frequency 1KHZ, stopband cutoff frequency 3KHZ, stop-band attenuation is-60dB.)

matlab绘制图形，绘制圆形双心圆以及圆环。(matlab draw graphics, draw the circular double heart round ring)

说明：  在命令窗输入如下内容就得到图形了: [t,x]=ode45( godhua ,[0,10],[0,0,0,1]) subplot(131) plot(t,x(:,4)) xlabel( t ) ylabel( y ) subplot(132) plot(t,x(:,1)) xlabel( t ) ylabel( v ) subplot(133) plot(t,x(:,2)) xlabel( t ) ylabel( \theta ) (At the command window type the following content to be the graphics: [t, x] = ode45 (godhua, [0,10], [0,0,0,1]) subplot (131) plot (t, x (:, 4 )) xlabel (t) ylabel (y) subplot (132) plot (t, x (:, 1)) xlabel (t) ylabel (v) subplot (133) plot (t, x (:, 2)) xlabel ( t) ylabel (heta))

自己编写的MATLAB对调制解调的仿真，适合做MATLAB的学生使用借鉴。有完整的注释，合适初学者。(Have written MATLAB simulation of the modem, suitable for the students to use MATLAB from. Complete notes, suitable for beginners.)

this source code for particle swarm optimization

传号、空号差分码的simulink模拟产生程序(Mark, simulink simulation empty number Differential Code Generator)

ESPRIT（旋转不变）算法用于DOA估计，对一维ESPRIT算法进行仿真，对估计误差进行分析，效果不错(ESPRIT rotation invariant algorithm for DOA estimation algorithm for one-dimensional ESPRIT simulation, estimation error analysis, good results)

KMV编程代码，很实用的，把数据代进去就行了鸭(KMV programming code, very practical, put the data in place on the duck.)

关于信号处理中的自适应算法的常用算法集，希望能对相关人士有所帮助！(On signal processing algorithms commonly used set of adaptive algorithms, hoping to help the relevant parties!)

：独立成分分析 ( I C A)在国内尚属一门新型的方法 介绍了I C A的原理及其算法 ，然后介绍了该算法在盲源 信号分离中的具体应用，并将此方法 与主成分方洼 ( P C A)进行了比较(: Independent Component Analysis (ICA) in China is a new method to introduce the principle of the ICA and its algorithm, and then introduced the algorithm for blind source separation in the concrete application of this method and with the principal component to depression ( PCA) were compared)