Square-wave-noise-cancellation

模糊矩阵分析中建立模糊相似矩阵（标定）的各种方法的MATLAB程序(Fuzzy matrix analysis to create a fuzzy similarity matrix (calibration) of the various methods of MATLAB procedures)

PID Controller Design and Tuning with MATLAB and Simulink(This demo file shows new capabilities for PID Controller design and tuning in MATLAB and Simullink)

说明：  通过在Matlab上实现对指定时间序列的赫斯特指数的计算 (Matlab to achieve by the specified time series Hurst index of)

Biosignals processing image GUI

hide message inside image and retrive it from image using dct

旋转机械二维全息谱计算，esprit算法对有干扰的信号频率进行估计,BP神经网络用于函数拟合与模式识别。( Rotating machinery 2-d holographic spectrum calculation, esprit algorithm signal frequency interference can be assessed BP neural network function fitting and pattern recognition.)

波束形成就是从传感器阵列重构源信号。（1）、通过增加期望信源的贡献来实现；（2）、通过抑制掉干扰源来实现。经典的波束形成需要观测方向(期望信源的方向)的知识。盲波束形成试图在没有期望信源方向信息的情况下进行信源的恢复(From sensor array beamforming is reconstructing source signal.(1), by increasing the expected source contribution to achieve (2), by suppressing interference sources.Classic beamforming need observation direction (expected source direction).Blind beamforming is trying to not expect source direction information of source of recovery)

he files in this package comprise the Matlab implementation of a foreground segmentation algorithm based upon graph cuts, described in: Better Foreground Segmentation Through Graph Cuts, N. Howe & A. Deschamps. Tech report, http://arxiv.org/abs/cs.CV/0401017. The file extractForeground.m contains a sample function that will perform a complete foreground segmentation for static camera video. It uses a number of parameters, which are described in the documentation. An attempt was made to choose sensible default values, but they may need to be adjusted for some videos. More generally, the implementation in extractForeground.m is only a suggestion of how the graph-based segmentation might be used. The same approach can be applied with other (perhaps time-adaptive) background models. The key step is at line 113 of the code, once the deviation array has been created. The graph-cut segmentation can be applied similarly to a deviation matrix computed in any other way.

说明：  用粒子滤波算法进行跟踪的matlab代码。(Using particle filter matlab code for tracking.)

MATLAB用于AWGN信道无早声识别算法!(MATLAB for AWGN no voice recognition algorithm morning!)