prbs_generator

matlab源码，运用遗传算法 优化RBF隐层神经元的中心值，宽度，和权值，具有很强的学习性。(matlab source code, the use of genetic algorithm optimization of RBF hidden layer neurons in the central value, width, and weight, has a strong learning.)

matlab程序画图，常见分形图，function cantor(A,B) c=1 p=0 figure hold on plot([A(2) B(2)],[A(1) B(1)], r* ) while norm(A(1,:)-B(1,:))>=1 C=[] D=[] for i=1:size(A,1) a=A(i,:)+(B(i,:)-A(i,:))/3 b=A(i,:)+2*(B(i,:)-A(i,:))/3 C=[C A(i,:) b] D=[D a B(i,:)] end A=C B=D p=p+1 (matlab program drawing, common fractal images function cantor(A,B) c=1 p=0 figure hold on plot([A(2) B(2)],[A(1) B(1)], r* ) while norm(A(1,:)-B(1,:))>=1 C=[] D=[] for i=1:size(A,1) a=A(i,:)+(B(i,:)-A(i,:))/3 b=A(i,:)+2*(B(i,:)-A(i,:))/3 C=[C A(i,:) b] D=[D a B(i,:)] end A=C B=D p=p+1 )

function ret = Int2Hex(var) Prints integer array to hexadecimal string varType = class(var) cast signness away: if ( u ~= varType(1) ) varType = [ u varType] var = typecast(var,varType) end nBits = str2double(varType(5:end)) if (64 == nBits) split 64 bit case into two 32 s cuz dec2hex doesn t handle 64 bit... varType(5:end) = 32 var = typecast(var,varType) end ret = dec2hex(var) if (64 == nBits) littleEndian = all(typecast(uint32(1), uint16 )==[1 0]) first = 1 + littleEndian second = 2 - littleEndian ret = [ret(first:2:end,:),ret(second:2:end,:)] end end

dda画线算法（数值微分法），matlab实现(Line dda algorithm (Numerical Differentiation), matlab achieve)

利用matlab进行动力学仿真之一，学习理论力学的同学可以参考一下(Matlab dynamics simulation carried out using one of the students to learn theoretical mechanics reference)

说明：  自适应滤波器相关的matlab程序，包含LMS，RLS算法等的实现。由于太大了，所以该资源分为part1和part2两部分。(matlab codes related to adaptive filters, including LMS and RLS algorithm, etc. the resource is divided to two parts (part1 + part2) cuz it is oversized.)

Sphere 函数的MATLAB实现。Sphere函数是一个优化问题的测试函数，经常用于优化问题的测试。(Sphere function of MATLAB implementation. Sphere function is a test function optimization problem, often used for optimization of the test.)

适合初学者学习的matlab手册，并且有常用的例程(Suitable for beginners to learn matlab manuals, and a commonly used routine)

时空联合的视频对象分割，时域采用多帧帧差，形态学处理和高斯聚类，空域采用小波变换和分水岭变换。时域分割的模板与空域分水岭变换的结果融合得到最终的分割结果。(joint space-time video segmentation, multi-domain when displayed poor handling and morphology Gaussian clustering, airspace wavelet transform and watershed transformation. Time-domain segmentation template and airspace watershed transformation is the result of the integration of the final result.)

光散射法测量颗粒粒径分布的时候MIE散射系数的确定，采用matlab算法反演(Mie coefficients)