IIR_impulse_butterworth

一种子空间跟踪PASTd经典算法MATLAB程序(A classic PASTd subspace tracking algorithm for MATLAB program)

this program will help you to simulate partial band jamming on frequency hopping systems using the algorithms of spread spectrum book of ziemer

说明：  matlab模糊PID控制，包括文献及实例仿真程序(Matlab fuzzy PID control)

matlab implementation of rlc+huffman coding for grayscale images

DEA数据包络分析，MATLAB实现，两种模型(DEA--Data Envelopment Analysis)

RGB和Lab颜色空间互相转换Matlab代码，亲测，非常好(Codes to transfer between RGB and Lab color space. Perform perfectly)

七单元天线阵MUSIC DOA估计： d=1 ， 天线阵元的间距； lma=2， 信号中心波长； 四输入信号； A=[A1,A2,A3,A4]， 得出A矩； 四信号的频率d=[1.3*cos(v1*n) 1*sin(v2*n) 1*sin(v3*n) 1*sin(v4*n)] 构造输入信号矢量 U=A*d 总的输入信号 总输入信号的协方差矩阵 [s,h]=eig(c) 求协方差的特征矢量及特征值 取出与零特征值对应的特征矢量 求协方差矩阵的逆矩阵 应用Music法估计输出 绘出各波达方向图(Seven-element antenna array MUSIC DOA estimates: d = 1, Antenna Array pitch LMA = 2 signal center wavelength four input signals A = [A1, A2, A3, and A4], drawn A moment tetra-frequency of the signal D = [1.3* cos (V1* n) 1* ⁢ sin (v2* n) 1* sin (v3* n) 1* sin (V4* n)] constructed input signal vector U = A* D of the total input signal of the total input signal covariance matrix [S] = EIG (c) seeking covariance feature vector and the feature value removing and corresponding to the zero eigenvalues ​ ​ characterized vector seeking covariance matrix inverse matrix Applications Music estimate output plotted DOA Figure)

平面拟合程序，可进行多点的平面拟合~简便易懂(Plane fitting procedure, the plane can be fitted more easily understood ~)

LDPC 码matlab程序 ，可用matlab直接运行，输出为BER曲线(LDPC code matlab program, matlab can be used directly to run, the output for the BER curves)

nonlinear pca的具体实现代码(nonlinear pca concrete realization of the code)