comparacion_aproximaciones

运动模糊图像的复原，采用倒谱法估计模糊尺度，编写代码，适合初学者学习与理解。含图，可运行测试(Restoration of motion blurred images using fuzzy scale cepstrum estimation, writing code, suitable for beginners to learn and understand. Including maps, can run the test)

采集的加速度信号积分为速度信号和位移信号，好用的程序( Realize the change from acceleration signalto displacement signal or speed signal, Integration program easy to use)

cours demodulation. traitement de signal analogique

已知单位负反馈系统被控对象的传函为: • 设计滞后-超前校正装置,使校正后的系统满足: • (1).在单位斜坡信号作用下,Kv=10s^(-1) • (2).校正后相角裕度³ 45° • (3).系统校正后剪切频率wc ³ 1.5s^(-1) • (4).时域性能指标:s％£ 30％,Tp £ 2s,Ts £ 6s (units known negative feedback system object to the transfer function :)

无刷直流电机的建模和仿真，包含matlab里面的例子，可以仿真成功，有最后的转矩波形(Brushless DC motor modeling and simulation, including inside matlab example, can emulate the success, there is a final torque waveform)

运用SVD分解分析勘探地震信号，主要是对信噪比提升的研究(Exploration and seismic signal processing in learning friends and the help )

ODFM系统的系列仿真代码，主要是信道衰减方面的，运行时有点慢，耐心等待哦(Series ODFM system simulation code, mainly channel attenuation areas, run-time a little slow, be patient Oh)

这是一道很基本的程序，一方面希望它对初学遗传算法的兄弟们有用（包含了遗传算法实现的大部分步骤，而且有详细的注释），另一方面旨在抛砖引玉， 在下浅见： 1、遗传算法在进行大规模计算时，数据交换量大，速度确实是一个瓶颈，就如这道程序，在种群规模50，进化代数1000时运行需要40秒左右(cpu:duron 1G),当然，小弟编程能力弱，望各位大侠指教啊，或帮我修改一下这道程序 (This is a very basic procedure, While they want it beginner GA brothers useful (including the genetic algorithm to achieve the most steps and a detailed note), on the other hand aims to attract the next suggestions : 1. GA conducting large-scale calculations, the data exchange capacity, speed is a bottleneck, as this practice. 50 in population size, the evolution of algebra required for the operation of 1000 when about 40 seconds (cpu : duron 1G), Of course, the younger programming weak, and hopes to enlighten ah Shanhaiguan, or help me rephrase this practice)

利用matlab 进行异步电机的电磁设计。通过合理的参数设计使其效率，功率因数等都满足条件。(asynchronous machine electrical and magnet design)

DBSCAN算法的matlab 实现。。基于密度的聚类算法。。。(DBSCAN algorithm matlab implementation. . Density-based clustering algorithm. . .)