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This paper presents a new and efficient approach for capacitor placement in radial distribution systems (RDS) that determine the optimal locations and size of capacitor with an objective of improving the voltage profile and reduction of power loss. The solution methodology has two parts: in part one the loss sensitivity factors (LSF) are used to select the candidate locations for the capacitor placement and in part two a new algorithm that employs Dijkstra Algorithm (DA) is used to estimate the optimal size of capacitors at the optimal buses determined in part one. The main advantage of the proposed method is that it does not require any external control parameters. The other advantage is that it handles the objective function and the constraints separately. The proposed method is applied to 33 & 69 RDS. The solutions obtained by the proposed method are compared with other methods. The proposed method has outperformed the other methods in terms of the quality of solution. OPTIMAL C

说明：  利用matlab实现多目标遗传算法，NSGA 2(Multi objective genetic algorithm based on MATLAB)

matlab与数字信号处理的相关代码，内附有详细的讲解课件(matlab and digital signal processing related code, containing a detailed explanation of courseware)

近场MUSIC算法，利用多重信号分类方法把位于近场的声源信号进行方位估计。(Near-field MUSIC algorithm, the use of multiple signal classification method put field is located near the sound source signal DOA estimation.)

Thickness of Various effectiveness of materials

基于最小二乘算法（RLS)的回波消除，直接可以运行(Based on least squares algorithm (RLS) of echo cancellation can be run directly)

压缩感知的贪婪迭代算法，算法使用最小二乘估计来重构信号(Greedy iterative algorithm compressed sensing algorithms to reconstruct the signal using a least squares estimation)

drive of pmsm with vector control

拟牛顿算法源码，结合了简单的案例，可以帮助读者更好的理解接替过程(Quasi-Newton algorithms)

Hopfield network with matlab.