decisiontree

Matlab基础例题程序,分为矩阵、图形、曲线拟合等，可用初学者学习使用(Code for practice of matlab )

The simulation FBMC with AWGN channel

本程序为零序电流小波变换求首波头极性及模值大小原理:故障线路的波头极性与非故障线路相反。(This procedure is zero sequence current first wave wavelet transform modulus of the first polarity and the size principle: the first wave of fault lines fault lines and non-polar opposite.)

数字图像处理课件-matlab语言基础，很适合做图像如理入门使用，系列之1数学预备知识(Digital image processing based on matlab language courseware), such as introduction to use, very suitable for image series 1)

经典论文PDF“Analysis K-SVD: A Dictionary-Learning Algorithm for the Analysis Sparse Model”及其工具箱，对学习K-SVD很有帮助(Classic paper PDF " Analysis K-SVD: A Dictionary-Learning Algorithm for the Analysis Sparse Model" and its toolbox, useful for learning K-SVD)

捷联式惯性导航的导航结算程序，使用matlab语言编写(Strapdown inertial navigation navigation and settlement procedures)

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.)

In computer science and information theory, data compression, source coding,[1] or bit-rate reduction involves encoding information using fewer bits than the original representation. Compression can be either be lossy or lossless. Lossless compression reduces bits by identifying and eliminating statistical redundancy. No information is lost in lossless compression. Lossy compression reduces bits by identifying marginally important information and removing it. The process of reducing the size of a data file is popularly referred to as data compression, although its formal name is source coding (coding done at the source of the data, before it is stored or transmitted).

说明：  移动通信中的极化码编码 SC译码 SCL译码 快速SC算法(wireless communication)

现代通信系统第二版的源代码（非常全面）学习通信编程的必备。(The source code for the second edition of the modern communication systems)