coherence_analysis

matlab codee for dopp

使用matlab_GUI编写，包括：扩展卡尔曼滤波，粒子滤波，去偏卡尔曼滤波和循环增益尔曼滤波的源程序，根据初始预测计算滤波值 再通过输入观测值进行卡尔曼滤波的仿真GUI界面程序(Matlab_GUI prepared to use, including: extended Kalman filter, particle filter, to the partial gain of Kalman filter and recycling thalmann source filter, according to the initial value of prediction filter observations through the input of the Kalman filter to simulation procedures GUI interface)

关于电力系统负荷预测用matlab语言编程方面的论文。(About power system load forecasting matlab language programming papers.)

grayscale decoding method

精通matlab6.5 (北航 张志涌),绝对的好书(Proficient matlab6.5 (BUAA Zhang Yong), the absolute good)

BPSK, QPSK, 16-QAM Modulation Mapping BER in communication

FCM1_1.m----------------------------二维随机数据聚类代码 FCM1_2.m----------------------------三维随机数据聚类代码( random data clustering code )

转速反馈控制直流调速系统的仿真，该模型是转速负反馈闭环调速系统的MATLAB仿真模型(Speed feedback control DC drive system of the simulation, the model is a negative feedback loop Speed Control System of the MATLAB simulation model)

Description All the filters have needed neighbor data the current pixel in the image,here this function(res_window=cover_window(how many neighbor value for row ,how many neighbor value for column ,input image) produce the result( res_window(row,col,total size)) input inp_img=2d data(row * col) w=cover size w=[3 3] = 3x3 cover pixel generation output o_img=result 3d o_img(w(1),w(2),r*col) if inp_img=[1 2 3 4 5 6 ] w=[3 3] Soloution it will construct new image new_img=[0 0 0 0 0 0 1 2 3 0 0 4 5 6 0 0 0 0 0 0] result o_img(:,:,1)=[0 0 0 0 1 2 0 4 5] o_img(:,:,2)=[0 0 0 1 2 3 4 5 6] finally o_img(1:3,1:3,6) example a=imread( pears.png ) b=rgb2gray(a) c=cover_window( b,[3 3]) 3x3 window construction

Simple to Understand PSO