fractal_matlab

Compressive Sensing： 从时域稀疏性和频域稀疏性两个不同角度实现基于MATLAB的压缩感知原理性能.对于Compressive Sensing 初学者有着极大的帮助。(Compressive Sensing： Based on MATLAB, codes realize CS theory from Time-Sparsing and Frequency-Sparsing field.It s really helpful for those who are fresh in CS field.)

几个粒子滤波的粒子。包括普通的粒子滤波和基于扩展卡尔曼滤波器的粒子滤波器源程序。(Several particle filter particles. Including ordinary particle filtering and extended Kalman filter-based particle filter source.)

emg feature extract using matlab

根据《多源信息融合》一书中的IMM多模型跟踪算法所写的仿真程序(According to )

属于风力发电建模技术领域的利用灰色关联度分析的风电场功率组合预测建模方法。(The power of the wind farm belonging to the field of wind power modeling techniques using gray relational analysis combined predictive modeling methods.)

利用sobel算子锐化边缘，增强对比度，matlab2012b编程通过，附带图片，便于移植和使用(Use sobel operator edge sharpening, contrast enhancement, matlab2012b programmed through, with pictures, portable and easy to use)

matlab code for Device Drivers

LTE中QPSK,16QAM,64QAM的软解调程序。可供相关学习者学习。是对调制解调学习的重要资料。(LTE, QPSK, 16QAM, 64QAM soft demodulation process. Related for learners. Is important information for modem learning.)

This document is intended to serve as an introduction to Wavelet processing through a set of Matlab experiments. These experiments will gives an overview of three fundamental tasks in signal and image processing : signal, denoising and compression. These scripts are selfs contents (needed additional Matlab functions can be downloaded while reading the lectures). Each one of these five lectures should take between 1h and 2h in order to tests the various features of the scripts. One should copy/paste the provided code into a file names e.g. tp1.m, and launch the script directly from Matlab comand line > tp1 . Some of the scripts contains "holes" that you should try to fill on your own. I also provide the complete correction of these lectures as a set of Matlab scripts, but you should try as much as possible to avoid using them. (This document is intended to serve as an introduction to Wavelet processing through a set of Matlab experiments. These experiments will gives an overview of three fundamental tasks in signal and image processing: signal, denoising and compression. These scripts are selfs contents (needed additional Matlab functions can be downloaded while reading the lectures). Each one of these five lectures should take between 1h and 2h in order to tests the various features of the scripts. One should copy/paste the provided code into a file names eg tp1.m, and launch the script directly from Matlab comand line> tp1. Some of the scripts contains holes that you should try to fill on your own.I also provide the complete correction of these lectures as a set of Matlab scripts, but you should try as much as possible to avoid using them.)

自己编写的多项式拟合程序，阶数可选择，里面含有一个数据文件，下载即可运行，使用过程中也可以用自己的数据。(themselves prepared polynomial fitting procedure, the option order, which contains a data file can be downloaded operation, the use of the process can also use their own data.)