detection2

图像去雾 matlab代码 最好的去雾算法 ( quwu matlab)

system identification, m document based on idetification

基于极限学习机和BP神经网络的半监督分类算法(Semi supervised classification algorithm based on extreme learning machine and BP neural network)

目标轮廓的椭圆拟合，matlab编写，精度很高，(Target contour ellipse fitting, matlab prepared, high precision,)

将MATLM3应用于有限差分法的正演计算中．充分发挥了其强大而方便的功能。 通过对二维稳定电流场模型的试算表明，ATLAB在解决实际的工程和数学问题中，与其它计算机程序设计语言 FORTRAN相比，具有使用更为简便、语句功能更强(Will MATLM3 finite difference method applied to the forward calculation. Give full play to its powerful and convenient features. Through the two-dimensional current field model calculations show that, ATLAB in solving practical engineering and mathematical problems, and other computer programming language FORTRAN, compared with the use of more convenient, more powerful statement)

LCMV优化设计阵列处理信号，FMCW调频连续波雷达的测距测角，matlab开发工具箱中的支持向量机。( LCMV optimization design array signal processing, FMCW frequency modulated continuous wave radar range and angular measurements, matlab development toolbox support vector machine.)

说明：  FNFB模擬，本論文旨在針對一自平衡兩輪電動車，發展兩種智慧適應運動控制策略及其嵌入式控制器研製技術。本文使用三星S3C2410 ARM處理器製作一台嵌入式控制器，用以實現所提的智慧適應型運動控制策略。藉由已發展的非線性數學模型，兩種結合模糊基礎網路(FBFN)之智慧適應型運動控制策略被提出，用以達成速度追蹤與轉向角速度控制。第一種智慧適應型運動控制方法使用模糊基礎網路近似學習模型不確定與時變的摩擦力，而第二種智慧適應型運動控制方法則採用模糊基礎網路直接學習該非線性控制器的能力。電腦模擬及實驗結果證實本文所建立的控制器有能力提供適當的控制動作，使得車體依照駕駛者的需求動作。(FNFB simulationThis thesis develops techniques for intelligent adaptive motion control and implementation of a self-balancing two-wheeled transporter. An embedded controller using Samsung S3C2410 ARM-9 processor is constructed to implement proposed motion control laws. With the nonlinear model of the vehicle, two kinds of intelligent adaptive motion controllers using fuzzy basis-function networks (FBFNs) are respectively proposed to achieve speed tracking )

说明：  用于计算色散,延迟不通 ,透镜的不同口径(compute dispersion)

This function converts the input binary to soft bits and logs to file

基于改进人工蜂群算法的K均值聚类算法-喻金平-郑杰-梅宏标，matlab(K-means clustering algorithm based on improved artificial bee colony algorithm-Yu Jinping-Zheng Jie-Mei Hongbiao, matlab)