dir2par

generation of random data for camera calibration

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 )

DS_CDMA通信系统matlab源程序，需要的下吧(DS_CDMA communications systems Matlab source, it needs under)

用matlab编写的边界跟踪算法，用到了freeman链码和爬虫法，可以有效的跟踪单个物体边界，适合于初学者。( Prepared using matlab boundary tracking algorithm uses a freeman chain code and reptiles method can effectively track a single object borders, suitable for beginners.)

模糊聚类的图像分割,通过模糊c-均值（FCM）聚类实现图像的分割(Fuzzy clustering segmentation Image segmentation by fuzzy c-means (FCM) clustering.This is a very very very good file.matlab)

模糊矩阵分析中建立模糊相似矩阵（标定）的各种方法的MATLAB程序(Fuzzy matrix analysis to create a fuzzy similarity matrix (calibration) of the various methods of MATLAB procedures)

The book of EM numerical methods

拉格朗日法实现多采样率的小数时延的实现，插值增加采样率，增加小数时延后，再以相同的速率抽取使其还原成原始采样率 (Lagrange method to realize the sampling rate of the realization of the fractional delay, interpolation increase the sampling rate, increase the decimal time delay, and at the same rate of extraction to make it back into the original sampling rate)

包含收发两个客户端程序，matlab小波分析程序，DSmT证据推理的组合公式计算函数。( Transceiver contains two client programs, matlab wavelet analysis program, Combination formula DSmT evidence reasoning calculation function.)

说明：  自动寻找阈值，实现图像分割。很好用啊！Matlab 编写！(Automatic find threshold, realize image segmentation. Very good! Matlab! )