single-image-dehazing

Adaptive Nonlinear Control of Multiphase Synchronous Buck Power Converters

感知准则函数是五十年代由Rosenblatt提出的一种自学习判别函数生成方法，Rosenblatt企图将其用于脑模型感知器，因此被称为感知准则函数。其特点是随意确定的判别函数初始值，在对样本分类训练过程中逐步修正直至最终确定。 (Perception criterion function is the 1950s proposed by Rosenblatt, a self-learning discriminant function generation method, Rosenblatt attempt for a brain model of perception, is known as the perception of the criterion function. Its characteristics are free to determine the discriminant function of the initial value, the gradual modification in the sample classification training process until finalized.)

当空间调制（sm）系统中每个符号含有3bits信息(即3bit/s/Hz的频谱利用率)时我们选择：4根发送天线，BPSK调制方式和2根发送天线，4QAM调制方式进行比较。(When the spatial modulation (sm) system, each symbol comprising 3bits information (i.e. 3bit/s/Hz spectral efficiency) when we choose: four transmitting antennas, BPSK modulation method and two transmission antennas, 4QAM modulation for comparison.)

基于菲涅尔域的双随机相位编码图像加密方案，利用角谱传播法实现(Based on double random phase encoding Fresnel domain image encryption scheme to achieve the use of angular spectrum propagation method)

Joan Solà编写6自由度扩展卡尔曼滤波slam算法工具包，解决视觉和机器人定位SLAM的一些列算法matlab工具包，对机器人定位和地图创建以及基于视觉的定位有很大帮助(This toolbox performs 6DOF SLAM using the classical EKF implementation. It is conceived as an "active-search" SLAM. It is provided for free under the GPL license (please read the file COPYING and make sure you agree in the terms and conditions before using it). Users might consider citing in their scientific communications one of the papers of the authors (SOLA-ETAL-IROS-05a, SOLA-ETAL-TRO-08, SOLA-ETAL-IROS-09) appearing on the References section in the documentation, and also acknowledging the use of this toolbox.)

说明：  专门用于求解TSP问题的matlab编制的蚁群算法,此程序的优化效率和鲁棒性都非常好(Ant Colony Algorithm for Traveling Salesman Problem,very efficient and robust)

这是周建兴编写的<<matlab从入门到精通》第三章的所有源代码，都可以运行的出来，和课本上的一样，(This is Zhoujian Xing written < <matlab从入门到精通》第三章的所有源代码，都可以运行的出来，和课本上的一样，)

前后向平滑， music 主要包含经典music算法实现原理及其代码，然后在此基础上介绍了前后向平滑算法的实现及其代码和仿真结果(forward/backward spatial smoothing，MUSIC Consists mainly of classical music algorithm theory and its code, and then on this basis introduced before and after smoothing algorithm and code and simulation results)

简单的基于matlab的启发式搜索算法。(The matlab simulation method of heuristic search algorithm。)

matlab源代码，是非负矩阵分解工具箱，包含乘法更新，最小二乘约束，投影梯度法等方法(Usage: [W,H] = nmf(X,K,alg,maxiter,speak) W: output matrix H: output matrix X: input matrix K: number of components alg: algorithm to use maxiter: maximum number of iterations speak: print to screen Algorithms: mm: Multiplicative updates method using euclidean distance measure. cjlin: Projected gradient method prob: Probabilistic non-negative matrix factorization. als: Alternating least squares. alsobs: Alternating least squares with optimal brain surgeon. Demonstrations: PET: NMF on a PET dataset Text: NMF used on a three different datasets Email, medical, and CNN. Algorithms mm: Multiplicative update method using euclidean distance measure. Described in Lee and Seung, 2001, Algorithms for Non-negative Matrix Factorization, Advances in Neural Information Processing Systems 13, 556-562. This algorithm is the most commonly used algorithm to solve NMF. cjlin: Alternative non-negative least squares using projected gradients. Author: Chih-Je)