blind-equalization-algorithm

MATLAB程序之数值微分经典算法源码MATLAB program of the source numerical differential classical algorithm(MATLAB program for numerical differential classical algorithm source MATLAB program of the source numerical differential classical algorithm)

MATLAB/SIMULINK POWERSYSTEM使用手册，查询PSB模块(MATLAB/SIMULINK POWERSYSTEM user manual query module PSB)

matlab code for hamming distance

潮流计算matlab程序，方便理解，供电力系统学习者分享(Flow calculation matlab program, to facilitate understanding for the learners share of power system)

相控阵雷达资源调度策略，分别针对有时间窗和无时间窗的两种策略比较(Phased array radar resource scheduling strategy, respectively, for the time windows and no time window Comparison of two strategies)

排课问题是一个有约束的、多目标的组合优化问题，并且已经被证明是一个NP完全问题。 遗传算法借鉴生物界自然选择和自然遗传机制，使用群体搜索技术，尤其是用于处理传统搜索方法难以解决的复杂的和非线性的问题。经过近40年的发展，遗传算法在理论研究和实际应用中取得了巨大的成功，本文将遗传算法用于排课问题的求解，首先讨论了排课问题中的影响因素、主要约束条件、求解目标和难点，并用数学模型完整地描述了排课问题。其次对多个模糊排课目标进行了定量分析，建立了排课优化目标空间。针对排课问题研究了染色体编码方式以及遗传算子的设计，提出了适应度函数的计算方法。最后对排课问题进行了实验。实验结果表明，其过程的目标值跟踪显示，算法稳健趋优，所得结果令人满意。(Course Scheduling problem is a constrained, multi-objective optimization problem, and has proven to be a NP complete problem. Genetic algorithms reference biosphere and the natural genetic mechanism of natural selection, using the group search technology, particularly the traditional search methods for handling complex and difficult to solve nonlinear problems. After nearly 40 years of development, the genetic algorithm in the theoretical study and practical application was a great success, this paper genetic algorithm for solving the course timetabling problem, first discussed the impact of factors in the course arrangement, the main constraints, to solve goals and difficulties, and a complete mathematical model to describe the course arrangement. Arranging multiple fuzzy goals followed by a quantitative analysis, the optimal target Arranging space. Arranging for the Study of the chromosome coding and genetic operators design, proposed fitness function is calculated. Finally, the co)

1D heat transefer function [A,b,r] = fullyDev1dr(m,rout,mu,dpdx) fullyDev1dr CVFD coefficients for 1D fully developed flow in a pipe Synopsis: [A,b] = fullyDev1dr [A,b] = fullyDev1dr(m) [A,b] = fullyDev1dr(m,rout) [A,b] = fullyDev1dr(m,rout,mu) [A,b] = fullyDev1dr(m,rout,mu,dpdx)

说明：  Non-Local Means Denoising Algorithm denoising source code

说明：  一个neural network的matlab源程序代码(a neural network to the source code Matlab)

image processing matlab code