这是一个外弹道的简单matlab仿真trajectory-simulink-grogram-and-doc

当线性代数联立方程组的系数矩阵为三对角阵T时，可将T分解为主对角元素为1的下三角阵L和另一个右三角阵R的积。(Simultaneous linear algebraic equations when the coefficient matrix is tridiagonal matrix T, can break down the main diagonal elements of T 1 of the lower triangular matrix L and the other right-triangular matrix R of the product.)

有关2012全国大学生数学建模竞赛论文，可以让读者提供一些方法和思路。(For papers of the 2012 National Mathematical Contest in Modeling, allows the reader to provide some methods and ideas.)

脉内线性调频、脉间频率步进信号的模糊函数(Linear FM pulse, pulse frequency step signal ambiguity function)

可用于IEEE802.16标准下ldoc码的性能分析(Can be used for performance analysis of IEEE802.16 standard ldoc code )

inverse 2-D Laplace transform

MOLMAP multiway toolbox是一个matlab集成工具箱，用来计算分子的MOLMAP得分，并将其用于后续的回归或分类模型中。(The MOLMAP multiway toolbox is a collection of MATLAB modules for calculating MOLMAP scores on multiway data. The scores can be used in subsequent regression or classification models. )

Basic signal:Representation of Basic Signals (a) Unit Impulse Signal (b) Unit-step. Signal ..... computed using MATLAB program and the resultant output is plotted

Matlab Wireless Communications 应用例程(Routine application of Matlab Wireless Communications)

Matlab2012b2010bmatlab7的下载地址安比较及常见问题 (Download Ann Matlab2012b2010bmatlab7 comparison and FAQs)

We address the problem of blind carrier frequency-offset (CFO) estimation in quadrature amplitude modulation, phase-shift keying, and pulse amplitude modulation communications systems.We study the performance of a standard CFO estimate, which consists of first raising the received signal to the Mth power, where M is an integer depending on the type and size of the symbol constellation, and then applying the nonlinear least squares (NLLS) estimation approach. At low signal-to noise ratio (SNR), the NLLS method fails to provide an accurate CFO estimate because of the presence of outliers. In this letter, we derive an approximate closed-form expression for the outlier probability. This enables us to predict the mean-square error (MSE) on CFO estimation for all SNR values. For a given SNR, the new results also give insight into the minimum number of samples required in the CFO estimation procedure, in order to ensure that the MSE on estimation is not significantly affected by the outliers.