shuru

简单快速近邻算法是一种典型的模式识别方法：在二维平面一矩形范围内随机产生训练样本，任意划分为三个区域，用快速近邻法确定待识别实验样本的所属分类。(Simple and fast nearest neighbor algorithm is a typical pattern recognition methods: randomly generated training samples in a rectangular range of two-dimensional plane, arbitrarily divided into three regions to determine the unknown experimental samples of Class fast nearest neighbor.)

Fdesign matlab algorithm

双基地声呐定位精度GDOP的分布图，以及与单站方位估计误差的关系。(Bistatic sonar maps GDOP positioning accuracy, as well as the relationship between the error of estimation and single station azimuth.)

Sampling and reconstructing an analogue signal

利用平移不变量发，实现小波阈值去噪，能够有效的消去伪吉布斯现象，利于后续的特征点提取。(The use of translation invariant issued to wavelet threshold denoising can effectively eliminate the Gibbs phenomenon, and conducive to the subsequent feature point extraction.)

快速扩展随机生成树算法（RRT）matlab 仿真演示。 (simulation of Rapidly-exploring Random Tree （RRT） based on MATLAB.)

matlab上的OFDM系统仿真，完整的一套系统，已经测试过可以运行。(An ofdm system on matlab environment。)

使用Kalman滤波实现二维图像中目标的轨迹跟踪(Two-dimensional images using Kalman Filtering Target tracking in)

This tutorial illustrates the basic ideas of interval type-2 (IT2) fuzzy sets and systems, and provides a Matlab implementation of IT2 fuzzy logic system (FLS). One obstacle in learning IT2 fuzzy logic is its complex notations. In this tutorial we try to avoid these notations and give the reader some intuitive understanding of IT2 FLSs. We also briefl y discuss approaches for reducing the computational cost of IT2 FLSs and the fundamental differences between IT2 and type-1 FLSs.

sorce code for line flow