basic_ofdm_inter

生成beta-小世界网络 ％ Authors: LuoNa, ECUST ％ v1.0 Created 30-May-2007(generation beta-small-world networks% Authors : LuoNa. ECUST% v1.0 Created 30-May-2007)

matlab常用代码,包括常用的图像图形处理。详细请下载查阅。(commonly matlab code, including commonly used in image and graphics processing. For details, please download the inspection.)

《Matlab遗传算法工具箱及应用》源码(The Matlab genetic algorithm toolbox and application source code )

A Full Performance Analysis of Channel Estimation Methods for Time Varying OFDM Systems

用Matlab做的自动控制原理的课程设计.(Automatic Control using Matlab to do the principle of curriculum design.)

This is a very good book on Matlab for Adaptive Filtering.

说明：  ex9_1 脉冲信号调制 ex9_2 载波10MHz，带宽2MHz的线性调频信号及其频谱图 ex9_3 产生7位巴克码编码的二相码 ex9_4 产生7位巴克码和线性调频的混合调制信号 ex9_5 瑞利分布实现程序 ex9_6 瑞利分布＋杂波 ex9_7 相关对数正态分布杂波 ex9_8 相关weibull分布杂波 ex9_9 相干相关K分布杂波 ex9_10 线性调频信号的数字化正交解调 ex9_11 雷达脉冲压缩处理 ex9_12 二相编码信号的脉压处理 ex9_13 用FFT和FIR方法实现MTD处理(程序有错误) ex9_14 雷达的恒虚警处理（CFAR） ex9_15 比较相参积累和非相参积累 ex9_14 计算加性高斯白噪声准则下雷达探测的经典CFAR 二进制检测阈值和指定的虚警概率。 (瑞利噪声下快慢门限CFAR处理)(Ex9_1 pulse signal modulates ex9_2 carrier 10MHz, Linear Frequency Modulation signal of bandwidth 2MHz and its Spectrum Diagram ex9_14 calculation of classical CFAR under additive Gaussian white noise criterion Binary detection threshold and specified false alarm probability. (fast and slow threshold CFAR processing under Riley noise))

数字图像处理，利用matlab开发环境进行编程实践。(Digital image processing using matlab to program development environment practice.)

该程序能够将matlab中绘制的三维图形，动态化，并最终生成gif文件，原理是使用了getframe()函数，获取几帧图像，再保存为gif文件 (The program can draw matlab in the three-dimensional graphics, dynamic, and ultimately generate the gif file, the principle is the use of getframe () function, to obtain a few frames, and then saved as a gif file)

Speech Recognition - Numbers 1 to 5 Energy normalization and time alignment References: [1] L. Rabiner and B.H. Juang,Fundamentals of Speech Recognition, Prentice-Hall, 1993. ％ [2] P.E. Papamichalis, Practical Approaches to Speech Coding, Prentice-Hall, 1987. ％ [3] J.D. Markel and A.H. Gray,Linear Prediction of Speech(Speech Recognition-Numbers 1 to 5 Energy n ormalization and time alignment References : [1] L. Paras and B. H. Juang, Fundamentals of Speech Recognition. Prentice-Hall, 1993. % [2] P. E. Papamichalis, Practical Approaches to Speech Coding, Prentice-Hall, 1987. % [3] J. D. Markel and A. H. Gray, Linear Prediction of Speech)