rrt_toolbox-master

matlab图像预处理，包括灰度化，对数变换，直方图均衡化，线性平滑滤波，中值滤波，自适应滤波，图像锐化，图像二值化，各类边缘检测算子等等(matlab image preprocessing, including gray-scale and logarithmic transformation, histogram equalization, linear filtering, median filtering, adaptive filtering, image sharpening, image binarization, all kinds of edge detection operator, etc.)

Gauss 消元法 — 不选主元 Gauss 消元法 — 列选主元. 插值法 lagrange .cpp 插值法 lagrange .cpp 二分法.txt 二分法和简单迭代法以及埃特金.txt 复化辛卜生公式.txt快速弦截法 gauss-seidel选代.txt牛顿迭代法.txt(Gauss elimination method- do not choose the principal component Gauss elimination method- principal component out how. Interpolation lagrange. Cpp interpolation lagrange. Cpp dichotomy. Txt dichotomy and a simple iterative method, and Aitken. Txt Fu Xin Bo' s formula of . txt fast chord intercept method gauss-seidel iteration. txt Newton iterative method. txt)

说明：  本文给出了用matlab实现简单UWB定位系统的所有代码，并可产生可视化的操作界面。(In this paper, simple to use matlab UWB positioning system all of the code, and can cause visual interface.)

matlab编程所得一首歌曲（matlab太强大啦）(The resulting matlab programming a song (matlab too powerful friends))

说明：  基于模拟退火算法的TSP问题解算方法和二维路径规划(Based on simulated annealing algorithm for TSP solution method and two-dimensional path planning)

简单验证码识别 很简单，主要利用了 二值化和编码的方法(Simple identification verification code is very simple, the main advantage of binary coding method and)

turbo ofdm in fading channel

this file classify number an alphabet

QPSK的基本结构原理与噪声下的SNR,这是最基本的方式(qpsk，basic construction and noise)

Training Artificial Neural Network. XOR Problem. Summation Units, Log-Sigmoid Neurons with Biases. Input Layer: 2, Hidden Layer: 2, Output Layer: 1 neurons. Returns mean square error between desired and actual outputs. Reference Papers: D. Karaboga, B. Basturk Akay, C. Ozturk, Artificial Bee Colony (ABC) Optimization Algorithm for Training Feed-Forward Neural Networks, LNCS: Modeling Decisions for Artificial Intelligence, 4617/2007, 318-329, 2007. D. Karaboga, C. Ozturk, Neural Networks Training by Artificial Bee Colony Algorithm on Pattern Classification, Neural Network World, 19(3), 279-292, 2009. */