System-Dynamic-Model

RMS value to calculate the voltages. This is work done with much enthusiasm because it s something that very dedication scientist has been done.

％help avifile 可以把屏幕图片做成avi ％也可以用如下打开和播放avi ％ mv=aviread( 14.avi ) ％ movie(mv) ％ 指定源目录 str_src ％ 指定图片个数，PICNum( Help avifile can make avi screen images can also be used as follows to open and play avi mv = aviread (14.avi) movie (mv) specify the source directory specified str_src picture number, PICNum)

matlab tutorial and explication

对运动声目标进行航迹跟踪，并通过粒子滤波去除航迹估计值的噪声成份。(Sports sound track to track targets and, through the particle filter to remove the estimated value of track noise component.)

Orthogonal Frequency Division Multiplexing(OFDM) signal simulation(Orthogonal Frequency Division Multiplex ing (OFDM) signal simulation)

子集和的迭代算法,一个序列，序列中得子集和等于给定数的所有解答(subset sum ：iterative method)

Compressive sampling is an emerging technique that promises to effectively recover a sparse signal from far fewer measurements than its dimension. The compressive sampling theory assures almost an exact recovery of a sparse signal if the signal is sensed randomly where the number of the measurements taken is proportional to the sparsity level and a log factor of the signal dimension. Encouraged by this emerging technique, this thesis briefly reviews the application of Compressive sampling in speech processing. It comprises the basic study of two necessary condition of compressive sensing theory: sparsity and incoherence. In this thesis, various sparsity domain and sensing matrix for speech signal and different pairs that satisfy incoherence condition has been compiled.

PHD 滤波是近年来发展最为迅速的目标跟踪方法。GM-PHD是一种运算量较小的PHD实现。程序经本人验证，效果非常好。(PHD is a popular target tracking method in recent years. GM-PHD is a most common application for target tracking. The program is efficient and useful.)

说明：  包含平行延拓法，边界局部尺寸延拓，极值延拓，基于ISMB的延拓方法(It includes parallel continuation method, boundary local dimension extension, extremum extension and ISMB based extension method)

solves vrp by genetic algorithm