beamform_sparse_array

BP神经网络模型的算法和RBF神经网络模型的算法(Algorithm algorithm and RBF neural network model of BP neural network model)

使用FFT变换在频域对宽带扩频信号中的正弦干扰信号进行识别和抑制，其中扩频信号由1024点的伪随机序列表示。(In the frequency domain using the FFT transform of broadband spread-spectrum signal of sinusoidal interference signal identification and suppression, in which spread-spectrum signal is generated by pseudo-random sequence of 1024 points, said.)

利用matlab软件对模式识别进行了很好的仿真，利用贝叶斯分类器对男女生进行了很好的分类。(Pattern recognition using matlab software had a very good simulation, the use of Bayesian Classifiers for boys and girls had a very good classification.)

说明：  Scilab软件与MATLAB功能相似，而且它是一个开源项目。功能强大，使用方法不简单。本教材是学习此软件较详细的资料。(Scilab software with features similar to MATLAB, and it is an open source project. Powerful, simple to use. The materials to learn the software more detailed information.)

EDGE DETECTION TECHNIQUES

to generate number gumbel random (hidrology)

说明：  数值计算方法中的matlab程序，Jacobi法,Newton插值法，QR分解，数值积分法，重特征值(Matlab program, Jacobi method, Newton interpolation method, QR decomposition, numerical integration method, multiple eigenvalues in numerical calculation method)

关于无功补偿的matlab优化程序，节点较多，可自己改动(Reactive power compensation on the matlab optimization procedures, more nodes can change their own)

function pi = solve2(count,m,cc) 借助布冯投针实验 仿真求pi的值 pi=0 frq=0 randNo = binornd(1,cc,1,m) pro=zeros(1,count) for j=1:count for i = 1:m if randNo(1,i) == 1 frq = frq + 1 end pro(i) = frq/i end pi = (2*m)/frq pro(j) = pi end pro = pro,num =1:count plot(num,pro) (function pi = solve2 (count, m, cc) to vote with Buffon needle experiment simulation find the value of pi pi = 0 frq = 0 randNo = binornd (1, cc, 1, m) pro = zeros (1, count) for j = 1: count for i = 1: m if randNo (1, i) == 1 frq = frq+ 1 end pro (i) = frq/i end pi = (2* m )/frq pro (j) = pi end pro = pro, num = 1: count plot (num, pro) )

此程序主要用于图像的匹配、配准，编程开发环境为MATLAB，是学习图像处理的同学很好的参考资料。(image matching)