GBM

完整的OFDM链路程序并作了较为具体的解析从基本的bpsk,qpsk,qam到实际的ofdm系统，cdma链路，mac层仿真分析.(Orthogonal frequency division multiplexing (OFDM) is becoming the chosen modulation technique for wireless communications. OFDM can provide large data rates with sufficient robustness to radio channel impairments. Many research centers in the world have specialized teams working in the optimization of OFDM for countless applications. Here, at the Georgia Institute of Technology, one of such teams is in Dr. M. A. Ingram’s Smart Antenna Research Laboratory (SARL), a part of the Georgia Center for Advanced Telecommunications Technology (GCATT). The purpose of this report is to provide Matlab code to simulate the basic processing involved in the generation and reception of an OFDM signal in a physical channel and to provide a description of each of the steps involved. For this purpose, we shall use, as an example, one of the proposed OFDM signals of the Digital Video Broadcasting (DVB) standard for the European terrestrial digital television (DTV) service.)

BCH(15,5,7)a communication system consists of binary source, 3 error-correcting BCH code of length 15 over GF(24) (i.e, BCH (15,5,7 code), the primitive polynomial is p(x)=1+x+x4), BPSK modulator, AWGN channel, coherent demodulator, decoder (either BMA or EA could be utilized to solve the error locator polynomial) and sink. Simulate and draw its error performance with and without BCH coding, together with the theoretical no-coding curve, i.e. two BER-EbNo curves.(a communication system consists of binary source, 3 error-correcting BCH code of length 15 over GF(24) (i.e, BCH (15,5,7 code), the primitive polynomial is p(x)=1+x+x4), BPSK modulator, AWGN channel, coherent demodulator, decoder (either BMA or EA could be utilized to solve the error locator polynomial) and sink. Simulate and draw its error performance with and without BCH coding, together with the theoretical no-coding curve, i.e. two BER-EbNo curves. )

利用MATLABWebServer实现在线作图，这个资料很有用(To use MATLABWebServer online mapping, this information is useful)

PCA主成分分析算法用于人脸识别的例子。此算法是基于矩阵特征值的排序而提取出主要成分的。(PCA principal component analysis algorithm for face recognition example. This algorithm is based on the ranking of the matrix eigenvalue extracted principal components.)

The purpose of this book is to teach basic programming concepts and skills needed for basic problem solving, all using MATLAB® as the vehicle. MATLAB is a powerful software package that has built-in functions to accomplish a diverse range of tasks, from mathematical operations to three-dimensional imaging. Additionally, MATLAB has a complete set of programming constructs that allows users to customize programs to their own specifications.

说明：  增量式PID算法的matlab仿真程序，在其中还加入了时滞环节(Incremental PID algorithm matlab simulation program, in which also joined the time-delay link)

电流环仿真，用MATLAB，采用Simulink(Current loop simulation, using MATLAB, using Simulink)

响应面MATLAB实现，建立近似模型，提高效率(response surface method)

使用matlab通信工具箱进行简单的通信仿真(To use matlab communication toolbox to simple communication simulation)

点目标成像程序，对于SAR成像初学者非常有用。包含多点目标成像（用RD算法），包含距离徙动矫正.(Point target imaging procedures, very useful for beginners SAR imaging. Include multi-point target imaging (with RD algorithm), including range migration correction.)