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THERISHOLDING ALGORITHM FOR FIGURE DETECTION

matlab图像处理示例详解，杨丹，赵海滨等，书中的源程序(Detailed matlab image processing example, Dan Yang, Zhao Haibin, etc., in the book of the source)

matlab programme for loss calculation in HT line

本文利用软件相移技术得到相互正交的参考正弦波信号；通过互相关算法，完成了软正交矢量型LIA相关器的具体实现；利用该方法实现了对微弱信号幅值和相位的检测，有效地抑制干扰，减少了硬件电路成本。通过Matlab仿真，验证了该算法具有一定的优越性。(In this paper, the software technology is orthogonal to the phase shift of the reference sine wave signal through cross-correlation algorithm to complete the implementation of soft orthogonal vector LIA correlator achieved using this method for detecting a weak signal amplitude and phase, effectively suppress the interference and reduce the cost of the hardware circuit. By Matlab simulation show that the algorithm has certain advantages.)

高斯线性调频信号的WVD；多普勒信号的WVD；计算WVD时，加窗和不加窗的影响 (Gauss linear frequency modulation signal WVD Doppler signal WVD calculate WVD adding windows and not the effects of window)

教材《matlab与通信仿真》中所有例程的matlab程序包(Materials " matlab and communication simulation," in the matlab package for all routine)

CLP Interface to LP/QP solver MEXCLP

Among the high-complexity methods, two methods dominate the literature Kalman filtering and Mixture of Gaussians (MoG). Both have their advantages, but Kalman filtering gets slammed in every paper for leaving object trails that can t be eliminated. As this seems like a possible deal breaker for many applications, I went with MoG. Also, MoG is more robust, as it can handle multi-modal distributions. For instance, a leaf waving against a blue sky has two modes—leaf and sky. MoG can filter out both. Kalman filters effectively track a single Gaussian, and are therefore unimodal: they can filter out only leaf or sky, but usually not both.

基于matlab/simulink的SVPWM仿真建模(Based on matlab/simulink for SVPWM simulation modeling)

使用hamming窗函数法设计的FIR带通滤波器(Use hamming window function method design FIR filters)