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BBN802.11系统模型的Matlab代码(BBN802.11 system model of Matlab code)

边缘预测提出了一种基于预测的、有一定自适应性的边缘检测方法。介绍了其原理和算法实现过程。通过计算两个相邻像素的灰度值的均值、均方差和梯度来预测下一个像素的灰度值,比较预测值和真实值来判断下一个像素是否是边界点。通过与现有同类算法的比较,证明了该算法的优越性(A predictive and adaptive edge detection method is proposed. The principle and implementation process of the algorithm are introduced. The gray value of the next pixel is predicted by calculating the mean, mean square deviation and gradient of the gray value of the two adjacent pixels. The prediction value and the real value are compared to determine whether the next pixel is a boundary point. The superiority of this algorithm is proved by comparing with the existing similar algorithms.)

阵列信号处理，宽带波达方向估计，经典聚焦算法，RSS(Array signal processing, broadband DOA estimation, classical focusing algorithm, RSS)

LMS算法验证，节实验数据说明和程序设计(LMS algorithms and test data section, and program design)

永磁无刷电机MATLAB仿真模型，验证成功(Permanent magnet brushless motor MATLAB simulation model proved to be successful)

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 )

LPR sourecode with MATLAB

matlab编程（第二版）国外经典入门教材，每章后面有详细的试题，首次加入附录A和B，对于matlab初学非常有帮助！可以进行自我测试，翻译的也比较精准，对于英语程度不够看原版书籍的同学很有帮助！(matlab Programming (Second Edition) foreign classic primer for matlab,can be very helpful for the freshman!)

傅里叶变换过程中由于时域信号长度有限，变换后有可能漏掉大的频谱分量(Fourier transform process, due to the finite length of the time domain signal, after conversion may miss a large spectral components)

二维规划问题的蚁群算法，应用蚁群算法，求解二维凸规划问题，实测可用。(Ant colony algorithm for two-dimensional problem, ant colony algorithm is applied to solve the two-dimensional convex programming problems, can be measured.)