stft_test

说明：  压缩感知 正交匹配追踪一些人关心压缩感知与雷达成像，他们把稀疏表示放在最重要的地方，以为在雷达成像中成功实现压缩感知关键是稀疏表示； 事实上并不是如此。我们知道：压缩感知需要建立AX=B,且该方法具有较低的抑制信噪比能力；另外雷达成像的基础是雷达 信号与目标的相互作用，也就是电磁波与介质的相互作用，该相互作用是一个非常复杂的非线性问题，因此研究这个问题与 压缩感知的关系才是解决雷达成像问题的关键点所在。从另外一个角度来看，雷达成像中惯用的方法是匹配滤波，它之所以 能够处理低信噪比的问题，是因为它利用了回波数据的冗余信息。也就是目前雷达成像算法之所以成功的关键是具有足够 多的冗余信息。现在，在雷达成像中使用压缩感知恰好是反其道而行之！ (compressed sensing)

MATLAB/Simulink Device Blocksets for dsPIC® DSCs

数值分析，对于普通的编程实现一定的算法有很大的帮组，这是本人作业，服役偶偶程序计一定的解释，希望能帮助到大家(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. )

计算阶跃折射率光纤传播常数、归一化频率、截止波长、导模数量等( Calculate for Step Index Fibers (using MATLAB): a) Propagation constant (β) b) Normalized propagation constant (b) c) V number (V) d) Check whether the fiber is single mode or multi mode. e) Graph between normalized propagation constant (b) and V number f) Cut off wavelength (λc) g) Number of modes traveling in fiber (Ms) )

MATLAB ZF MMSE db.mminnorm.mmatlab，File->Set Path->Add Folder。 db(MATLAB ZF MMSE db.mminnorm.mmatlab, File-)

基于Matlab的PID参数最优化设计(fminsearch单纯形法)(Matlab-based design of PID parameter optimization (fminsearch simplex method))

最小数据量法计算李雅普诺夫常数，给出matlab下的源代码(The minimum amount of data calculated Lyapunov constant, given the source code under matlab)

西电廖桂生老师的阵列信号处理讲义，适合阵列信号方向研究者入门时阅览。(Array signal processing lectures West, Liao Gui-sheng teacher, researcher for entry when reading array signal direction.)

How to works GPU and how to instal CUDA

求解线性方程组的Orthomin法。包括matrix preconditioning和Restart。(Solving Linear Equations Orthomin law. Including the matrix preconditioning and Restart.)