jj

Digital signal processing is the discipline that studies the rules governing the behavior of discrete signals, as well as the systems used to process them. It also deals with the issues involved in processing continuous signals using digital techniques. Digital signal processing pervades modern life. It has applications in compact disc players, computer tomography, geological processing, mobile phones, electronic toys, and many others.

People can use this to build a MATLAB project for LQR control

结合PCA的尺度不变特征变换(SIFT)算法，双向PCS控制仿真，使用matlab实现智能预测控制算法。( Combined with PCA scale invariant feature transform (SIFT) algorithm, Two-way PCS control simulation, Use matlab intelligent predictive control algorithm.)

google ranking implemented in matlab

基于matlab禁忌算法，包含一个小例子，有助于理解禁忌算法(Tabu search algorithm based on MATLAB)

基于ＭＡＴＬＡＢ的ＱＰＳＫ的程序设计，应用于课程设计(The QPSK based on MATLAB programming, applied to course design)

Power flow analysis in two bus system

自己画的SIMULINK仿真的三个PID控制，以供大家参考。(Use SIMULINK three PID control)

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经典编程，总共15个章节，很实用很经典的编程资料(MATLAB classical programming, a total of 15 chapters, very practical classic programming information)