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使用MATLAB对RLS进行编程实现对目标的跟踪，仿真结果显示目标跟踪的精确度和实时性(On RLS using MATLAB programming to achieve the target tracking, target tracking simulation results show the accuracy and real-time)

说明：  一本matlab编程人员案头必备的一本参考书籍,中文版,有助于提高英文及编程技术.(A matlab programmer an essential desk reference books, Chinese, English and help to improve programming.)

实现异步电机的软启动，本科毕设做的，希望可以帮到有需要的同学(Asynchronous motor soft start, undergraduate complete set do desire to help needy students)

此程序用于计算高光谱数据中地面光谱数据的各种植被指数(This program used to calculate the spectral data in a variety of ground spectral vegetation index)

说明：  fastICA算法的处理的其中的一部分，是关于信号的(fastICA)

SIMULINK中搭建了光伏发电电池模型，对不同的光照和温度产生不同的功率(SIMULINK to build the model of the photovoltaic cells produce different power for different light and temperature)

基于MATLAB图像处理的汽车牌照识别系统，希望对各位大大有些帮助啊啊啊啊(MATLAB image processing based on the vehicle license plate recognition system, we hope to you greatly helpful ah ah ah ah)

In this section, the PAPR performance of the proposed algorithms is shown. To evaluate the PAPR performance, the CCDF is employed. The specification detail of simulation parameters is given in TABLE I. In Fig. 5 is shown the PAPR with a PTS method (U = 8) and conventional PTS (U = 4) are improved 4.3 dB and 2.6 dB from ordinary MIMO-OFDM signal when CCDF = 10− 4 respectively and Fig. 6 is shown the PAPR with an optimal PTS method in case of 128 subcarriers.

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

file to extract angle direction of orientation field