fundamentalsofsignalsandsystems

这是一个用AnCAD公司的matfor图形包写的一个小程序，实现了类似matlab封面三维图形功能，用该图形包代码量少，个人认为比matlab更能满足用VC开发的朋友。(This is a company with AnCAD graphics package matfor write a small program to achieve a similar three-dimensional graphics functions matlab cover, using the graphics package code less, think more than matlab personal use VC development to better meet friends.)

生成oil价格仿真数据，用于模型辨识，参数辨识的验证(Oil prices to generate simulation data for model identification, parameter identification verification)

说明：  讲解了FFT DFT 以及有关的matlab函数，比较实用(Explained the FFT DFT and the matlab function, more practical)

ybus case distributed-generation_distribution-system_Newton-Laphson

Electronically Scanned Arrays MATLAB Modeling and Simulation

THRESHOLD gui FOR DEFINING THE THRESHOLD

基于matlab的海洋通信的基础猜想，采用数字调制，2径仿真，其中损耗采用HUAWEI早年实测模型(Based on the basis of conjecture matlab marine communications, digital modulation, two-path simulation, in which the loss measured using early model HUAWEI)

stbc码的性能仿真，拥有良好的图形界面，操作直观简单，可得到瑞利信道，AWGN信道下的性能曲线。(STBC performance simulation code, have a good graphical interface, an intuitive easy to operate, can be Rayleigh channel, AWGN channel under the performance curve.)

说明：  阵列信号处理波束形成算法仿真 有实际的应用价值 请参考(Array signal processing Beamforming Algorithm simulation has practical application value please refer to)

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)