qam_ofdm_trx

此码为信号处理方面，干扰的抑制等，利用波束，分集器等算法(The code for signal processing, interference suppression, the use of the beam, diversity, etc. Algorithm)

數學function的用法 這個使用的方法對於數學界很重要 提供function使得 很多人不用在自己寫的很痛苦(ceiling method)

计算自由空间FDTD程序，包括信号初始化和矩阵初始化和场计算(free space FDTD calculation procedures, including the initialization signal and matrix initialization and field calculation)

This book is intended for anyone trying to learn the fundamentals of computer programming. The chapters lead the reader through the various steps required for writing a program, introducing the MATLABr constructs in the process. MATLABr is used to teach programming because it has a simple programming environment. It has a low initial overhead which allows the novice programmer to begin programming immediately and allows the users to easily debug their programs. This is especially useful for people who have a “mental block” about computers. Although MATLABr is a high-level language and interactive environment that enables the user to perform computationally intensive tasks faster than with traditional programming languages such as C, C++, and Fortran, the author shows that it can also be used as a programming learning tool for novices. There are a number of exercises at the end of each chapter which should help the users become comfortable with the language.

用FDTD法计算了填充各向异性介质的矩形波导的截止波数(It caculate the cut-off wavenumbers of rectangular waveguide which is filled with anisotropic medium)

Oqpsk调制与解调matlab源代码，用于在matlab中仿真oqpsk调制与解调的过程，非常适合初学者。(Oqpsk modulation and demodulation matlab source code for the simulation in matlab oqpsk modulation and demodulation process, very suitable for beginners.)

说话人识别 用DTW与HMM模型改进算法(speaker recognition )

说明：  轮式移动机器人的镇定，利用分段方法实现机器人镇定到x轴上(Stabilization of wheeled mobile robot, the use of sub-methods to achieve calm to x-axis robot)

数值分析国外教材源代码 Atkinson Matlab (Atkinson Matlab )

1) 以身高为例，画出男女生身高的直方图并做对比； 2) 采用最大似然估计方法，求男女生身高以及体重分布的参数； 3) 采用贝叶斯估计方法，求男女生身高以及体重分布的参数（假定方差已知，作业请注明自己选定的一些参数情况）； 4) 采用最小错误率贝叶斯决策，画出类别判定的决策面。并判断某样本的身高体重分别为(160,45)时应该属于男生还是女生？为(178,70)时呢？(1) taking height as an example, draw the histogram of male and female students and compare them; 2) the maximum likelihood estimation method was used to calculate the height and weight distribution parameters of male and female students; 3) using Bayesian estimation method to find the parameters of height and weight distribution of male and female students (assuming the variance is known, please indicate some of the parameters selected by the job); 4) using the minimum error rate Bayes decision, draw the decision surface of category decision. And determine the height and weight of a sample respectively (160,45), should belong to the boys or girls? What about (178,70)?)