abbr_c0e75c1f46b59b5e2372e10c64

说明：  关于电力系统静态稳定的程序，需要的可以下载(the program of powersystem stablity )

说明：  遗传算法在优化路径中的应用研究，MATLAB程序。

研究穿越沙漠的建模问题，涉及线性规划的统筹模型，适合教学使用(Studies across the desert modeling, linear programming involves co-ordination model, suitable for teaching use)

说明：  matlab代码 交通流元胞自动机仿真 双车道 如果需要改变车流密度在脚本文件中修改fp.(Matlab code traffic flow cellular automata simulation of two lanes If you need to change the traffic density, modify the FP in the script file.)

有关BPSK的各种收发仿真。有源程序，可直接运行出图。(BPSK Simulation for the various transceiver. A source can be directly run the map.)

独立主成分分析与主成分分析代码，速度比较快，而且比较好用(In these first experiments, both ICA and whitened PCA are used to compress the data, and all the components are used for classifying the examples. The classifier used is a 1-NN with Euclidean distance. The results shown in next sections are clear: when a rotational invariant classifier is used (as 1-NN with L2-norm) the classification results of FastICA/whitened PCA are equivalent, while the difference between Infomax and whitened data es significant but small)

提出了基于模糊神经网络的新的地图匹配算法． 该算法综合了数字道路信息和GPS /DR 定位信息， 提取两个重要参数作为输入变量， 即定位点到候选路段的投影距离及定位航向与候选路段方位角差． 设计出了四层模糊神经网络及改进的收敛学习规则． 实验结果表明所提出的算法能很好地匹配车辆行驶路段位置．(Map matching algorithm based on fuzzy neural network)

运用谱减法，对语音信号进行去噪处理并比较处理前后的信噪比(Using spectral subtraction to denoise the speech signal and compare the signal to noise ratio before and after processing)

对二维矩形阵列，进行空间谱估计！适合阵列测向的新手，建议先仔细学习基础知识。在知识积累上想进行垮越式发展，于初学者来说最重要的是能帮助你弄清楚问题根本何在。 (Of two-dimensional rectangular array, spatial spectrum estimation! Suitable for the novice to the array of measurement, it is recommended to carefully study the basic knowledge. In the accumulation of knowledge on Vietnam-style collapse would like to carry out development for the beginner to the most important thing is to help you figure out what the problem is.)

说明：  我做的用于非接触电能传输的自适应谐振技术方案，用到了MATLAB仿真，对研究非接触供电，以及学习锁相环的MATLAB仿真有很好的帮助。(Principles of Adaptive Resonance Technology for Contactless Power Transmission System，contactless, adaptive, series resonance, phase-locked loop)