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介绍mimo雷达后向投影算法，在现代通信行业当中运用比较广泛(one atticle about MIMO radar bp arithmetic)

本文队基于LQR最优调节器的倒立摆控制系统进行了仿真研究(In this paper, team-based LQR Optimal Regulator of an inverted pendulum control system simulation)

DQM法求解输液管道的流致振动问题，求解临界流速。考察颤振失稳和发散失稳的失稳方式。(DQM pipeline flow infusion method induced vibration problems, solving the critical velocity. Investigated the flutter instability and divergence instability of the instability mode.)

Dinic method of maximum flow construction, for O(n^3), using pseudo-maximal flow construction by Malhotra - Kumar - Maheshvari. By Vitold Lipsky ( Combinatorics for programmers , 1988). Written by: Amir Tulegenov, 2009

实验名称:投资组合分析 实验性质：综合性和研究探索性 实验目的：熟练运用投资组合工具箱，学会构造有效前沿组合的方法，掌握最优投资组合的计算方法；给出投资组合VaR 的值。 实验任务：选择股票并从万得下载数据，计算证券的预期收益率、标准差和协方差，设定一组约束条件，构造最优投资组合并计算该组合的Var值。 实验设备：计算机 实验软件：Matlab2013 Wind数据库 选择一组股票作为投资标的，构造投资组合，通过估计收益率均值、计算方差、协方差，计算该投资组合权重、在险价值、画出有效前沿。(Experimental Name: Portfolio Analysis Experimental nature: comprehensiveness and research exploration The purpose of the experiment is to skillfully use the portfolio toolbox, learn to construct effective frontier portfolio method, grasp the best investment portfolio calculation method, and give the value of portfolio VaR. Experimental tasks: select stock and download data from Wan De, calculate the expected return, standard deviation and covariance of securities, set up a set of constraints, construct the optimal portfolio and calculate the Var value of the portfolio. Experimental equipment: computer Experimental software: Matlab2013 Wind database A group of stocks is selected as investment target, and a portfolio is constructed. By estimating the mean value, variance and covariance of the yield, we calculate the portfolio weight, value at risk and draw effective frontier.)

利用singer模型实现对机动目标的跟踪(the maneuvering target tracking by using singer model)

说明：  通过并行压缩进行二维信号压缩，提出了一种利用并行压缩传感技术对二维信号进行压缩的新方案。根据这个原理，译码器的重新构造可以并行进行。通过对二维信号进行某些排列，可以确保所有列具有大致相同的密度级别，并且可以使用相同的测量矩阵进行采样。这样可以避免二维信号的矢量化，从而大大减小测量矩阵的尺寸。我们证明，如果排列良好，重建均方误差的上限会更紧。为了说明这一方案，我们将其应用于视频压缩并使用不同帧的排列有两种：参考帧的基于Z字形扫描的排列和非参考帧的基于块测试的排列。仿真结果表明，在相同的压缩比下，峰值信噪比比比在无置换情况下可提高3-7db左右。(we propose a new scheme to compress 2D signals using parallel compressed sensing. According to this seheme, the reeonstruction at the decoder can be performed in parallel. By performing certain permutation on a 2D signal, all columns are insured to have approximately the same density level and can be sampled using the same measurement matrix. In this way, vectorization of a 2D signal can be avoided, and thus the size of the measurement matrix can be dramatically reduced. We prove that with a good permutation, we can have a tighter upper bound on reconstruction mean square error. To illustrate this scheme, we apply it to video compression and use two kinds of permutations for different frames: the zigzag-scanbased permutation for reference frames and the block-test-based permutation for non-reference frames. Simulation results show that under the same compression ratio, the peak signal-to-noise ratio can be improved by approximately 3-7 dB compared to the case without permutation.)

matlab编程实例，合适初学者学习，参考，编程，仿真，很有价值的(matlab programming examples, suitable for beginners to learn, reference, programming, simulation, great value)

说明：  <信号分析与处理：MATLAB语言及应用> 本书将信号分析与处理、信号与系统、与matlab语言紧密结合。提供大量matlab应用程序(err)

基于cpso文章，给出的一个matlab代码，添加测试函数即可运行。(Based on cpso, given a matlab code, add test function can be run.)