基于暗原色先验去雾代码

实现了对于存在多个旅行商的开环路径最优求解，就是确定路径的起点和终点(Open Multiple Traveling Salesmen Problem )

本代码分析了全光纤微环谐振器的传输特性，同时分析了谐振器的参数如光纤的直径、微环的半径等，对谐振器的性能如自由光谱范围（FSR）及品质因子Q值的影响。(This code analyze the transmission characteristics of all fiber optic micro-ring resonators and the relation between the resonator parameters, such as the diameter of the optical fiber, the radius of the micor-ring, and the performance of the micro-ring, such as the free spectral range (FSR) and the quality factor Q .)

In this paper, we describe a novel approach for reducing the power consumption and complexity of a multiband orthogonal frequency-division multiplexing (MB-OFDM) ultrawideband (UWB) system by applying ideas from pulsed UWB ystems. The approach is quite general and applicable to many other systems. Unlike the MB-OFDM system, the enhancement that we propose uses pulses with duty cycles of less than 1 as the amplitude shaping pulse of orthogonal frequency-division multiplexing (OFDM) modulation.

matlab经典算法程序中关于插值和拟合的具体指导资料 给需要的朋友们以启发(classical algorithm matlab program on interpolation and fitting specific guidance information to a friend who needs to inspire)

应用背景AdaBoost（Adaptive Boosting）算法由Yoav Freund和罗伯特Shapire在1995用于从一组弱分类器中生成强分类器。弗氏和Y.R. Schapire说明一个有趣的例子，赛马的赌徒，解释清楚优化和解空间搜索。很自然地，赌徒会问一些很成功的问题，在他做出决定之前，专家赌徒们对他有什么帮助。每一位专家会根据自己的经验给他一些好的建议。在模式分类方面，这些建议形成了一个大池的分类，虽然他们显然是非常粗糙的不准确。问题是，个人的经验可以整合起来，建立一个更好的赌徒的投注分类？从那时起，这个问题吸引了很多研究人员的关注寻求有价值的策略来处理。卡恩斯和勇士是第一个提出这个问题的人是否有些弱学习算法比随机猜测这是在PAC更好一点模型可以“增强”到一个精确的学习算法；关键技术AdaBoost算法通过维护一个集合的重量超过创建一套差的学习者训练数据和调整后，每个弱学习周期自适应。训练的权重样品的分类由目前的弱学习将增加的重量正确分类的样本将会减少。

GUI building document

说明：  基于MATLAB中多径非时变信道仿真与分析，可以实现以下简单信道模型的测试！(MATLAB-based non-time-varying multipath channel simulation and analysis, you can achieve the following simple channel model of the test!)

用于数学建模，评价类模型，层次分析法的代码(For mathematical modeling, evaluation class model, AHP code)

此代码为MATLAB的实现暂停、继续、终止等功能。(This code for the realization of MATLAB pause, resume, stop and other functions.)

说明：  根据傅里叶原理，在GUI界面中用正余弦波合成方波(According to Fu Liye's principle, Yu Xianbo is synthesized by positive Fang Bo in the GUI interface)