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Bayesian Model Selection

各种求解非线性方程组的算法程序，包括牛顿法及变形，不动点迭代，共轭梯度等等等等(Various algorithms for solving nonlinear equations procedures, including Newton and deformation, fixed point iteration, conjugate gradient, etc., etc.)

信息融合综述以及一些基于matlab的实现(information fusion)

MIMO script for BER computation BPSK

改进的虚拟激励法，用于大型结构的随机频域计算，在建筑、航天、机械领域已得到广泛的应用。(Improved pseudo-excitation method for the large-scale structure of random frequency-domain calculation, in the construction, aerospace, mechanical field has been widely used.)

基于OFDM的无线宽带系统仿真It contains mainly two parts, i.e. link-level simulator and system-level simulator. Link-level simulator focus on a single-cell single-user scenario, where signal is transmitted from tx, and estimated at rx. Comparing the difference in tx/rx signal, the error rate can be found out. The output of the link-level simulator is the BLER/BER vs. SNR mapping table, that can be used for the system-level simulation. System-level simulator focus on a multi-cell multi-user scenario. For the sake of simplicity, it takes the mapping table aquired in the link-level simulation, measure the actural SNR, and finds the corresponding error rate.(OFDM-based wireless broadband system simulation It contains mainly two parts, ie link-level simulator and system-level simulator.Link-level simulator focus on a single-cell single-user scenario, where signal is transmitted from tx, and estimated at rx . Comparing the difference in tx/rx signal, the error rate can be found out. The output of the link-level simulator is the BLER/BER vs. SNR mapping table, that can be used for the system-level simulation.System- level simulator focus on a multi-cell multi-user scenario. For the sake of simplicity, it takes the mapping table aquired in the link-level simulation, measure the actural SNR, and finds the corresponding error rate.)

输入两个正整数m和n，求其最大公约数和最小公倍数。 利用辗除法。(Enter two positive integers m, n, of seeking the common denominator and least common multiple. The use of rolling division.)

us kalman filter and Monte-Carlo simulations

这是本人的数值分析作业，希望能帮租到大家，里边有源程序，及解释说明，大家仔细看，肯定会理解(In order to improve the adaptation property of the system by making the best of the direction of distribution of radar measurement errors, a optimum estimation algorithm for Kepler orbit is proposed, which yields a maximum likelihood estimation of the Kepler orbit with multi-spatio-temporal state based on both the preprocessing of the small manoeuvring model and the determining of initial value parameter with two spatio-temporal state. )

DMP基于动态运动基元的轨迹学习与规划，可以手动绘制轨迹，也可以载入原始数据(DMP trajectory learning and planning based on dynamic motion primitives)