OFDM_basic

Some special graphs drawn in Matlab,hope to use and helpful.(Some special graphs drawn in Matlab, hope to use and helpful.)

matlab中用来作单位根检测的程序，内有使用说明(matlab in the unit root test used for the procedure, there are instructions)

Advection and Disperison in 1D coupled diffusion into 2D matrix, diffusion happens both in 1D and 2D which interconnected 1D and 2D

second-order Engquist-Majda ABC in an FDTD program for 2D-TMz.

压缩孔径编码 用于压缩感知成像 比较详尽适合初学者参考使用(Compression coding for compressed sensing aperture imaging using more detailed reference for beginners)

认知无线电中平均初始接入时延和平均切换时延的计算方法(Calculated the average switching delay and delay cognitive radio average initial access)

1.本书包含的实例所使用的源程序清单，文件夹第3章～第7章分别包括各章节内的实例源程序。 2.源程序文件名与所在章节和实例序号对应，如：3_1.m为第三章实例一【例3_1】的源程序。 3.文件夹tftoolbox为2002版的时频工具箱，第六章“非平稳信号分析与处理”需要用到该工 具箱的部分函数。请将其拷贝到用户的MATLAB工作路径（如D:R2006awork） 4.各章节的M文件已在MATLAB R2006a环境下调试通过，拷贝到用户的MATLAB工作路径（如 D:R2006awork）下即可运行。(1. This book contains examples of source code used in the list of folders in Chapter 3 ~ Chapter 7, respectively, including the section within the source code examples. 2. Source file name and serial number where the corresponding chapters and examples, such as: 3_1.m for example Chapter 1 3_1】 【Example of the source. 3. Tftoolbox folder for the 2002 version of the Time-Frequency Toolbox, Chapter VI, " Non-stationary signal analysis and processing" required to use part of the toolbox functions. I would be grateful if a copy job to the user' s MATLAB path [such as D: R2006a work] 4. Of all sections of M are available at MATLAB R2006a debugging environment through, copy to the user' s job MATLAB path [such as D: R2006a work ] to run under.)

非常有用的学习资料，用它学习matlab，从入门到精通，面面俱到(Very useful learning materials, use it to learn matlab, from entry to the master, everything)

说明：  经典的EFK雷达测量模型 构造数据为雷达采样数据，距离、俯仰角、方向角。 假设目标匀速直线运动，CV模型 状态变量用x，y，z，以及各自的导数 (EFK classic measurements of radar data for modeling radar sampling data, distance, pitch angle, direction angle. Goal of uniform linear motion assumption, CV model with state variables x, y, z, and their respective derivatives)

线性预测法是语音处理中的核心技术，它在语音识别、合成、编码、说话人识别等方面都得到了成功应用。有的专家认为，进20年中语音处理技术的飞速发展与以线性预测为中心的信号处理技术是分不开的。简单来说，就是：一个语音的抽样能用过去若干语音抽样的线性组合来逼近。 (Linear prediction is the core voice processing technology, which in speech recognition, synthesis, coding, speaker recognition and so on have been successfully applied. Some experts believe that 20 years into the rapid development of voice processing technology and to forecast as the center of linear signal processing technology are inseparable. To put it simply, is: Can a voice sample voice over the past number of linear combinations to approximate the sample.)