EquaDiff2

说明：  一种经典的流形学习算法，IsomapR1，用matlab与c++混合编程实现(A classical manifold learning algorithms)

国外发布的航空信道matlab模型，真实可用（附说明）(Abroad issued Aviation matlab channel model, the real can be used (with explanation))

说明：  基于Matlab的MIMO通信系统仿真”，收获良多，特将其记录下来，与诸位分享。此主题分为上下两部分，第一部分主要涉及系统架构，第二部分侧重程序优化。若能帮助读者一二，实属万幸。(Multi-input multi-output (MIMO) communication system based on Matlab simulation ", so, will its record, share with you. This topic is divided into two parts, the first part mainly involves the system architecture, the second part focuses on process optimization. If can help readers just a little, is lucky.)

Matlab 官方工具箱使用说明programming_tips编程技巧.pdf(Matlab toolbox for use of official programming_tips programming skills. Pdf)

牛顿插值发，数值方法计算牛顿插值程序 计算牛顿插值多项式的值(newtoninterpolation)

MMA盲均衡算法，上传供交流，希望大家提供宝贵的意见(MMA blind equalization algorithm, uploads for the exchange, we hope to provide valuable advice)

lansvd分解算法，先对矩阵进行lanczos分解，再进行svd奇异值分解。代码里面含有注释。(lansvd decomposition algorithm, first lanczos the matrix decomposition, then svd singular value decomposition. Code which contains comments.)

Abstract—We propose two novel energy-aware routing algorithms for wireless ad hoc networks, called reliable minimum energy cost routing (RMECR) and reliable minimum energy routing (RMER). RMECR addresses three important requirements of ad hoc networks: energy-efficiency, reliability, and prolonging network lifetime. It considers the energy consumption and the remaining battery energy of nodes as well as quality of links to find energy-efficient and reliable routes that increase the operational lifetime of the network. RMER, on the other hand, is

基于matlab的ofdm系统仿真性能、源代码、原理(Performance of ofdm system based on matlab simulation, the source, and principle)

说明：  本程序包括：论文SVM 用于基于块划分特征提取的图像分类，和相应的matlab实现其中图像划分以及特征提取、聚类均利用matlab6.5完成。 (The procedures include: paper by SVM for feature extraction based on block classification, and the corresponding realization of one image into matlab, and feature extraction, clustering were done using matlab6.5.)