Cross-Correlation

MATLAB语言与控制系统仿真,PPT文档 结合所学课程《自动控制原理》，运用MATLAB语言进行控制系统仿真和辅助设计(matlab language and control system design，ppt document。)

控制表的程序实现，用语言编写存入文本文档中(Program control table, use the language into the text document)

图像超分辨率重建算法，通过稀疏混合估计来实现，效果不错。(Image super-resolution reconstruction algorithm, by mixing estimates sparse achieved good results.)

车牌的定位算法 基于MATLAB开发 对图像处理的初学者很有帮助(a principal component analysis is performed on the random process defined by plate images, which will be the same images used in the database referred )

This Matlab script finds the frequency offset effects in the orthogonal frequency division multiplexing (OFDM)and its effects on the bit error rate (BER). A reference paper is also included.

matlab中图形用户界面的教程，包含ppt及matlab程序(Tutorial of the graphical user interface in MATLAB, including PPT and matlab program)

older cih example - back to ninety s

先进PID控制及其MATLAB仿真 Advanced PID Control and MATLAB Simulation(Advanced PID Control and MATLAB Simulation)

计算赫斯特指数Calculates the generalized Hurst exponent H(q) of a stochastic variable x(t) (a time series) the scaling of the renormalized q-moments of the distribution <|x(t+r)-x(t)|^q>/<x(t)^q> ~ r^[qH(q)] The value of H(q) give indication about the fractal nature of the signal. H(q) = 0.5 corresponds to a Brownian motion, deviations form 0.5 and dependency on q are indications of multi-fractality and time-correlations.(Calculates the generalized Hurst exponent H(q) of a stochastic variable x(t) (a time series) the scaling of the renormalized q-moments of the distribution <|x(t+r)-x(t)|^q>/<x(t)^q> ~ r^[qH(q)] The value of H(q) give indication about the fractal nature of the signal. H(q) = 0.5 corresponds to a Brownian motion, deviations form 0.5 and dependency on q are indications of multi-fractality and time-correlations.)

it s used to detect circles in edge image as input by Hough transform. you can assign a region of interest (ROI) to find center of circle in it.it s effective because time of run is decreased.