ofdm1.m.tar

数字水印提取算法，利用离散余弦变换的（dct）算法(Digital watermark extraction algorithm using discrete cosine transform (dct) algorithm)

平面板壳单元的单元刚度矩阵和单元质量矩阵程序(Unit of the flat shell element stiffness matrix and mass matrix program)

数学建模样本程序，可供联系使用，matlab程序(Code code code code code code program)

OFDM的MATHLAB仿真，计算误码率，误比特率，π/4qpsk调制(OFDM-MATHLAB simulation, the calculation error rate, bit error rate, π/4qpsk modulation)

2000年数学建模B题 材料运输问题 MATLAB和LINGO程序代码(Mathematical modeling in 2000 B topic materials transportation problem and LINGO MATLAB program code )

特征空间波束形成图 稳健 改进算法 比较了lcmv特征空间 改进的特征空间 (The feature space beamforming Figure steady improvement algorithm)

捷联惯导系统的初始对准的程序，加入了算法描述，方便大家使用。(SINS Alignment programmer)

选取CDMA通信系统中的接入信道部分进行仿真与分析。首先，通过学习相应的理论知识，熟悉接入信道实现的过程，对每一步的原理有了较深的理解，同时，也对MATALB软件进行熟悉和了解，对MATLAB软件中的SIMULINK部分及其内部的CDMA模块用法和参数设置进行熟悉，然后运用MATLAB软件对接入信道部分进行设计，并逐步地对各个模块进行分析、仿真与验证。目的是通过毕业设计工作熟悉现代无线通信系统的基本构成与基本工作原理-CDMA (communication system to select the access channel simulation and analysis of parts. First of all, by learning the theory of knowledge, familiar with the access channel to achieve the process, with each step deeper understanding of the principle, at the same time, but also familiar with the software MATALB and understanding of the MATLAB software and its internal part of the SIMULINK use of the CDMA module and parameter settings are familiar with, and then use MATLAB software to access parts of the design of channel and step by step analysis of each module, simulation and verification. The purpose of design work through graduate familiar with the modern wireless communication systems constitute the basic and fundamental principle,)

求单变量反馈控制回路的输出时间延迟 X为闭环回路输出时间序列 寻找时间延迟tau：即Sdeltmean第一个极小值点对应的t(Find a single variable feedback control loop time delay the output of X is closed-loop output time series to find the time delay tau: the Sdeltmean the first minimum point corresponding to t)

这个zip文件中包含的原则和双方的扩展卡尔曼滤波（EKF）和全球定位系统（GPS）算法简要说明。它的主要目的是提供一个相对容易实现的扩展卡尔曼滤波，在我们使用的输入函数的形式，而不是禁止函数处理符号表达式。它也可作为一个简要介绍了卡尔曼滤波算法GPS和学习它的意思。在为EKF的例子，我们提供的原始资料，同时使用的定位扩展卡尔曼滤波和最小二乘法的任务和解决方案。 有四个M文件和两个数据文件。 Extended_KF.m包含EKF的函数体。另一些功能和GPS的示例数据文件。(This zip file contains a brief illustration of principles and algorithms of both the Extended Kalman Filtering (EKF) and the Global Position System (GPS). It is designed primarily to provide a relatively easy-to-implement EKF, in which we use symbol expressions as the form of input functions rather than the forbidding function handles. It also serves as a brief introduction to the Kalman Filtering algorithms for GPS and a mean of learning it. In the example for the EKF, we provide the raw data and solution for the positioning task using both EKF and the Least Square method. There are four m files and two data files. Extended_KF.m contains the function body of the EKF. Others are functions and data files for the GPS example.)