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Laplacian Eigenmaps [10] uses spectral techniques to perform dimensionality reduction. This technique relies on the basic assumption that the data lies in a low dimensional manifold in a high dimensional space.[11] This algorithm cannot embed out of sample points, but techniques based on Reproducing kernel Hilbert space regularization exist for adding this capability.[12] Such techniques can be applied to other nonlinear dimensionality reduction algorithms as well.

合成孔径雷达(SAR)点目标数据模拟生成的matlab程序(Matlab program for SAR simulation data generation)

说明：  分析仿真舰船目标散射点在不同初始相位下的慢时间多普勒历程(Analysis and Simulation of slow-time Doppler history of ship target scattering points in different initial phases)

Fundamental Capacity of MIMO Channels

NaSch模型MATLAB程序,交通流，单车道元胞自动机模型的程序实现(Program MATLAB NaSch model , traffic flow, lane cellular automaton model )

ebook about Digital Signal Processing Using Matlab

netlab, filtering for matlab

分析了pure aloha与slot aloha协议的时延(analysis time delayof pure aloha and slot aloha)

adaptive rationalfilter program

说明：  动态系统是我们生活中的常见系统。此程序源码就是源于生活的一项仿真程序。的确不错的。(Dynamic system is a common system of our lives. This source code is a simulation program from life. Really good.)