PCA

The Kalman filter is a set of mathematical equations that provides ... The Kalman filter addresses the general problem of trying to estimate

先进PID控制中的积分分离PID算法源程序(Advanced PID control integral separate PID algorithm source code)

1、分别生成两种信号（正弦波、方波、三角波、锯齿波、Sinc波形等）+噪声（高斯随机噪声、均匀噪声） 要求：频率：学号*100； 幅度：学号/10 相位：学号*pi/180 点数：学号*64 2、同时在一个图形中进行显示： 要求：标注X轴、Y轴、题目、颜色、样式、线型标注等。 3、进行信号分析及结果显示（对结果也要图形标注，同2） 要求：相关分析 卷积运算 求和运算 频谱分析（最大值、测频） 4、对上述原信号及信号分析结果分别存成EXCEL文件、文本文件和二进制文件，命名为名字+班级+学号+后缀(1, respectively, to generate two signals (sine wave, square wave, triangle wave, sawtooth wave, Sinc waveform, etc.)+ noise (Gaussian random noise, uniform noise) requirements: Frequency: No.* 100 margin: Student ID/10 phase: learning* pi/180 Points: No.* 642, in a graphical display: Requirements: X-axis label, Y axis, the title, color, style, linear marked. 3, signal analysis and results display (graphical results also marked with 2) requirements: analysis convolution summation spectrum analysis (maximum frequency measurement) 4, the original signal and the signal analysis results were kept into EXCEL files, text files and binary files, named for Name the+ class++ suffix number)

基于Matlab车辆车牌的识别，完整程序，可用(Vehicle license plate recognition based on Matlab, complete procedures, is available )

基于matlab的对于时滞微分方程的求解以及对方程稳定性的研究与验证(Delay based matlab for solving differential equations and research and verify the stability of the equation)

说明：  中文信息处理课件 很好狠好狠好狠好很好很好很好很好很好(Chinese information processing)

利用MATLAB软件进行RLS 算法仿真；  考察RLS算法的收敛性，与横向LMS算法进行比较；  (RLS algorithm using MATLAB software simulation  examine the convergence of RLS algorithm, LMS algorithm to compare with the horizontal  )

一个二进制FSK通信系统的蒙特卡诺仿真bpskdigital(s,f) 本程序实现BPSK调制(A binary FSK communication system simulation Monte Kano bpskdigital (s, f) of the Program for BPSK modulation)

And OR Not gate in cellular learning automata

Real time optical flow, and video processing, with support for camera input in Matlab.(Start by running "runMe.m" Supports input through: a) synthetically generated test images b) reading avi-file c) camera input (requires image aquisition toolbox) Calculates optical flow by 4 different local methods(all moment based), 2 implementations of Lucas and Kanade, and 2 implementations of point-line flow. Can process easily hundreds of frames per second on a laptop for resolution 200x200 images.)