UraPIV

程序给出了0~10发音的语谱图，其中采用分帧函数对信号进行分帧处理然后在用fft算法得到频谱信息，后用灰度图像表示(Program gives the pronunciation of words from 0 to 10 spectra, which employs the signal sub-frame function and then in the sub-frame processing spectral information obtained with the fft algorithm, then said with a gray image)

C#调用MATLAB的程序,要求系统装有framework库和matlab运行时库,drawgraph.m 为matlab,要事行用matlab编译成一个.dll,源码中提供的入在Bin/debug下面.(MATLAB procedures, System requirements with the framework and Matlab runtime library, drawgraph.m of Matlab, important trip with a Matlab compiled. dll. The source provided income Bin/debug below.)

在matlab中利用Costas环对AM通信系统进行载波相位跟踪，代码中带有详细注释。(Costas loop in matlab using communication systems on the AM carrier phase tracking, the code with detailed comments.)

说明：  杨辉三角，可以更具你的需要输入杨辉三角的大小，它会自动地为你输出最合适的杨辉三角。(Yang Hui traingle,you can more you need to enter the size of Yang Hui triangle,it will automatically output the most suitable for you,Yang Hui triangle.)

说明：  MATLAB 最新的时频分析工具箱1，里面包含大量的MATLAB时频分析函数(The latest MATLAB toolbox 1 time-frequency analysis, which contains a large number of time-frequency analysis of the MATLAB function)

自己编的卡尔曼滤波器，有兴趣的看下，运行无误(Own series of Kalman filter, interested look, run correctly)

this is the program for finding peak power in ofdm using selective mapping

The radially averaged power spectrum (RAPS) is the direction-independent mean spectrum, i.e. the average of all possible directional power spectra. This function computes and plots the RAPS of an input image. The function was written to produce the RAPS for square weather radar reflectivity images so you will have to relabel the plot axes and title to suit your needs. The radially averaged power spectrum provides a convenient means to view and compare information contained in 2D spectra in 1D

说明：  FIR滤波器设计,非常好，大家请下，20 个字太长了，哈人要求啊(FIR filter design)

说明：  经典书籍 剑桥大学大学出版社： 无线通信基础(Book Description: The past decade has seen many advances in physical layer wireless communication theory and their implementation in wireless systems. This textbook takes a unified view of the fundamentals of wireless communication and explains the web of concepts underpinning these advances at a level accessible to an audience with a basic background in probability and digital communication. Topics covered include MIMO (multi-input, multi-output) communication, space-time coding, opportunistic communication, OFDM and CDMA. The concepts are illustrated using many examples from real wireless systems such as GSM, IS-95 (CDMA), IS-856 (1 x EV-DO), Flash OFDM and UWB (ultra-wideband). Particular emphasis is placed on the interplay between concepts and their implementation in real systems. An abundant supply of exercises and figures reinforce the material in the text. This book is intended for use on graduate courses in electrical and computer engineering and will also be of great interes)