fessnel

verry good program.you can try to run this

This function links edge points together into lists of coordinate pairs. Where an edge junction is encountered the list is terminated and a separate list is generated for each of the branches.

这是一基于MATLAB的复调制ZOOM-FFT的研究和实现的一篇文章，为的是提高频率分辨率。(This is a MATLAB-based complex modulation ZOOM- FFT Research and Implementation of an article, To improve the frequency resolution.)

doubly fed induction motor

GUIA DE AUTOAPRENDIZAJE PARA VISUAL BASIC

pv cell modeling documentaion

包括完整的Turbo码编码和译码程序，可用于实验仿真和教学。主文件为一个测试文件，仅对一个Turbo码字进行译码。(The uploaded matlab files including the Turbo code encoding and decoding programs can be used for simulations and teaching. The main file is a test file, which only decodes one Turbo codeword.)

利用MATLAB实现雷达对抗技术中单脉冲全向比幅法测向的仿真(Radar simulation using MATLAB confrontation art amplitude comparison monopulse omnidirectional measured direction)

霍夫曼变换，是一种可变长编码方式.Huffman树是二叉树的一种特殊转化形式。(huffman_core)

城市交通流的运行存在着高度的复杂性、时变性和随机性,实时准确的交通流预测是智能交通系统,特别是先进的交通管理系统与先进的出行者信息系统研究的关键. 基于交通流预测的特点,给出了基于遗传算法的小波神经 网络的交通预测模型GA-WNN ,用具有自然进化规律的遗传算法来对小波神经网络的连接权值和伸缩平移尺度进行前期优化训练,部分代替了小波框架神经网络中按单一梯度方向进行参数优化的梯度下降法,克服了单一梯度下降法易陷入局部极小和引起振荡效应等缺陷. 仿真实验验证了GA-WNN 预测模型对短时交通流的预测的有效性.(For the high complexity ,time-variation and probability of urban traffic flow , its real-time and exact prediction is critical to the research of intelligent traffic systems , especially for the advanced traffic manage-ment system and advanced traveler information system. Based on the character of the traffic flow prediction , a GA-WNN model is given based on the wavelet neural network with genetic algorithm. The genetic algorithm of natural evolving law for the gradient descendent algorithm in Wavelet Neural Network is partly substituted to pre-optimize the connection weight and the extension scale of the wavelet neural network and later optimize the parameters along a single gradient vector. This method overcomes some drawbacks when there exists a single gradient descendent algorithm , such as local minimum and oscillation. A short-time traffic flow prediction sim- ulation using the GA2WNN prediction model demonstrates the validity of the model .)