4.9AdaptiveFilter-master

Finite Difference Programming for Matlab in 2D (Poisuille flow)

说明：  利用matlab处理数据.采用FFT和小波分析的方法分析信号的功率谱.........(perform on the picture using matlab to analysis the power spectrum...)

人工势场法的一种改进,有效的解决了局部最小点问题(improve APF)

压缩感知，进行图像处理，信号处理可以有效减少信息冗余(Compression sensing, image processing and signal processing can effectively reduce information redundancy)

对RFID系统在MATLAB中进行仿真，并提出了方案，和重要的结果。(A simulation in MATLAB/simulink. It not only provides details about how to realize RFID system, but also shows the final result of this system.)

根据IEEE标准算例给出的9节点网络图，利用MATLAB软件编程计算其节点导纳矩阵（含有解释）。当然，依据程序稍作修改可以求IEEE算例中的任意节点导纳矩阵。(Example is given according to the IEEE standard 9-node network diagram, using MATLAB software program to calculate the nodal admittance matrix (with explanation). Of course, some slight modifications according to the program can find examples of any IEEE nodal admittance matrix.)

schematic Quanta ON1

ask的相干和非相干接收，包括调制及解调过程，还有他们的误码性能比较(ask the coherent and incoherent receivers, including the modulation and demodulation process, and their BER performance comparison)

说明：  七单元天线阵DOA估计 clear clc d=1 天线阵元的间距 lma=2 信号中心波长 q1=1*pi/4 q2=1*pi/3 q3=1*pi/6 q4=3*pi/4 四输入信号的方向 A1=[exp(-2*pi*j*d*[0:6]*cos(q1)/lma)] 求阵因子 A2=[exp(-2*pi*j*d*[0:6]*cos(q2)/lma)] A3=[exp(-2*pi*j*d*[0:6]*cos(q3)/lma)] A4=[exp(-2*pi*j*d*[0:6]*cos(q4)/lma)] A=[A1,A2,A3,A4] 得出A矩阵 n=1:1900 v1=.015 四信号的频率 v2=.05 v3=.02 v4=.035 d=[1.3*cos(v1*n) 1*sin(v2(we)

文件中包含一个用matlab simulink搭建的光照强度模型和一个画出不同月份某一天光照强度随时间变化曲线图的matlab脚本程序。(File contains a model of the light intensity with matlab simulink to build and a month to draw different light intensities a day versus time graph matlab script.)