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毕业论文-数字滤波器设计 （详细讲解各种滤波器）(Thesis- digital filter design (explained in detail the various filters))

模拟退火程序，用MATLAB语言实现，并带有程序算法说明(simulated annealing)

随机数发生器 此功能会产生连续的值（功法的文章中讨论的五个分布随机分布，指数，对数正态分布，拉伸指数，截止功法）。使用信息包含在文件类型的帮助randht在MATLAB提示符更多信息。 幂律分布拟合 这项功能同时实现的离散和连续的最大似然估计拟合幂律分布的数据，以及善良的合适的方法来估计缩放区域较低的截止。使用信息包含在文件类型的帮助plfit在MATLAB提示符更多信息。(This function is a random number generator will produce discrete values ​ ​ (power law discussed in five articles distributed random distribution, exponential, lognormal, stretching index cutoff power law). The use of information contained in the file type of help randht in MATLAB prompt for more information. Power-law distribution fitting This function implements both discrete and continuous maximum likelihood estimation fitting power-law distribution of data, and kind suitable method to estimate the scaling region lower cutoff. The use of information contained in the file type of help plfit in MATLAB prompt for more information.)

This paper presents a new method to solve the network reconfiguration problem in the presence of distributed generation (DG) with an objective of minimizing real power loss and improving voltage profile in distribution system. A meta heuristic Harmony Search Algorithm (HSA) is used to simultaneously reconfigure and identify the optimal locations for installation of DG units in a distribution network. Sensitivity analysis is used to identify optimal locations for installation of DG units. Different scenarios of DG placement and reconfiguration of network are considered to study the performance of the proposed method. The constraints of voltage and branch current carrying capacity are included in the uation of the objective function. The method has been tested on 33-bus and 69-bus radial distribution systems at three different load levels to demonstrate the performance and effectiveness of the proposed method. The results obtained are encouraging.

针对单级多资源约束生产批量计划问题,提出了基于量子粒子群算法求解该问题的方法。此算法将量子强大的领域搜索能力和基本粒子群算法(PSO)通过跟踪极值更新粒子的功能(On a single stage production lot-sizing problem of resource constraints, based on quantum particle swarm algorithm is proposed to solve the problem.The algorithm to the field of quantum powerful search ability and basic particle swarm optimization (PSO) through the tracking function of extremum updating particles)

说明：  遗传算法ES的matlab程序，可以顺利运行，单目标优化中很经典的算法(evolutionary )

“袋子模型”特征描述演示，有注释，以及人脸库(bag of the words demo)

不对称陀螺分子在强电场中薛定谔方程的矩阵表达(asymmetric top molecules in strong electric field in the matrix representation of the Schrodinger equation)

正交频分复用，多输入多输出的信道估计的matlab程序，经过验证可以直接运行(Orthogonal frequency division multiplexing MIMO channel estimation matlab program can be run directly, proven)

Heat Equation with variable coefficients. Solution of the heat equation using point gauss method