Three

Matlab 语言写的Electromagnetic Simulation using FDTD Sullivan书中的二维FDTD (Matlab Electromagnetic Simulation using FDTD Sullivan FDTD )

这是关于时频分析的Wigner-Ville分布的完美程序,仿真出来的分布很好很完美,欢迎下载.(This is the time-frequency analysis of the Wigner-Ville distribution of a perfect process, Simulation of the distribution are very good, and very perfect, welcomed download.)

应用背景This document briefly summarises “Version 1” of the SparseBayes software, designed to run within the Matlab environment (see www.mathworks.com). The latest version of this software, along with other explanatory materials, should be available from: http://www.relevancevector.com This documentation refers specifically to Version 1.1 of SparseBayes. Version 1.1 is a baseline re-implementation of the V1.0 package (dating from 2002) that was originally freely downloadable from Microsoft Research1. Please note that SparseBayes is not intended to be a fully comprehensive library or toolbox. Instead, the software comprises a basic set of representative routines implementing the necessary core functionality for “sparse Bayesian” models, such as the “relevance vector machine”. It was originally designed as both a useful demonstration and a base upon which interested users can build more practical code.关键技术A brief description of each file

用clean算法提取信道的冲击响应 ，对于通信系统仿真很实用；包括一整套的仿真流程可以根据仿真目的对程序进行删减；后期数据处理比较有用

Good book for learing Opamp. Hope this is useful

Abstract— We propose a simple speech compression algorithm using subband division and ADPCM (Adaptive Differential Pulse Code Modulation) algorithm. Although speech data are stored in a semiconductor memory device, its capacity and the available network capacity are limited. Therefore, it is necessary to compress the data as much as possible. The first is that the reconstructed datum must be understood correctly. Speech signal is compressed with a ratio of 1/4 using the proposed subband division and ADPCM (Adaptive Differential Pulse Code Modulation) algorithm.

信息论中各种熵的matlab实现，其中包括自信息量，互信息量，条件熵，联合熵，冗余度等等的计算。(various information theory entropy Matlab achieved, which include the volume of information, mutual information, the conditional entropy, Joint entropy, and so on the redundancy terms.)

有关水声通信中基于OFDM的多普勒频移的估计与补偿(the underwater communication OFDM-based Doppler frequency shift and the estimated compensation)

极速学习机,可以做模型预测、评价，比BP神经网络更优。(Fast learning machine, you can do the model prediction, evaluation, better than BP neural network.)

matlab程序运行时导入数据文件作为输入参数，一种噪声辅助数据分析方法,包含特征值与特征向量的提取、训练样本以及最后的识别，使用matlab实现智能预测控制算法，包含位置式PID算法、积分分离式PID，采用累计贡献率的方法。