FUNCS3

LMS算法实现自适应滤波 clear close all clc N=10000 设置仿真长度 信号产生参数设定 a1=-0.195 a1=-1.5955 a2=0.95 R0=[1,a1,a2 a1,1+a2,0 a2,a1,1] p=[1,0,0] r=inv(R0)*p 计算理论自相关函数 R=[r(1),r(2) r(2),r(1)] 生成理论自相关矩阵 p1=[r(2),r(3)] 生成互相关 h=inv(R)*p1 计算维纳解 Jmin=r(1)-h *p1 计算维纳解时最小均方误差 u=1/sum(eigs(R)) ( LMS算法实现自适应滤波 clear close all clc N=10000 设置仿真长度 信号产生参数设定 a1=-0.195 a1=-1.5955 a2=0.95 R0=[1,a1,a2 a1,1+a2,0 a2,a1,1] p=[1,0,0] r=inv(R0)*p 计算理论自相关函数 R=[r(1),r(2) r(2),r(1)] 生成理论自相关矩阵 p1=[r(2),r(3)] 生成互相关 h=inv(R)*p1 计算维纳解 Jmin=r(1)-h*p1 计算维纳解时最小均方误差 u=1/sum(eigs(R)) )

matlab经典算法的程序之插值与拟合，多项式的插值与拟合等程序(classical algorithm matlab interpolation and fitting procedures, such as polynomial interpolation and fitting procedures)

捷联惯导仿真，对于初学惯导的人进行matlab仿真有很大的帮助！(Simulation of SINS)

在matlab下用DSPbuilder实现的4阶IIR滤波器设计(In matlab using DSPbuilder realize 4-order IIR filter design)

CVX的使用方法 它是一种很有用的MATLAB工具(CVX to use it is a very useful tool for MATLAB)

说明：  马尔克扶链的算法 cdma程序的算法(according to a press release supporting the chain algorithm cdma procedures algorithm)

matlab函数文件 绘制卫星视角的三维地球视图 清晰逼真(matlab function file rendering three-dimensional perspective of the Earth satellite view vivid)

层次分析法（Analytic Hierarchy Process简称AHP）是将与决策总是有关的元素分解成目标、准则、方案等层次，在此基础之上进行定性和定量分析的决策方法。这里提出层次分析法的matlab源程序(AHP (Analytic Hierarchy Process referred AHP) is always associated with the decision-making elements into goals, guidelines, programs and other levels, on this basis for qualitative and quantitative analysis of decision-making methods. AHP presented here matlab source)

Program for counting Bit Error rate

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