Edge-Detection-and-Segmentation

fuzzy logic implementation in matlab with the help of membership functions and fuzzy rules.

文章的代码主要讲述椭圆型方程五点差分格式。用MATLAB软件来实现，大大提高了算法的精确度。(The code article focuses on five difference scheme for elliptic equations are considered. Use MATLAB software to realize, greatly improve the precision of the algorithm.)

matlab版本的数字信号处理，适合初学的人。(matlab version of the digital signal processing, suitable for beginners person.)

这个文档是基于MATLAB的语音信号LPC技术分析研究,文档详细介绍了关于语间信号的LPC技术分析(This document is based on MATLAB LPC Speech Signal Analysis and Research, the document details the language between the signals on the LPC Technical Analysis)

这是Mann－kendall趋势检验和sen斜率估计的matlab实现的源代码，与大家共享！(This is the Mann-kendall trend test and the estimated slope sen achieved Matlab source code and share!)

麻省理工学院的matlab教程，应该很给力吧，还比较详细(MIT matlab tutorial, it should be to force it, but also more detailed)

不错的经验模态分解原吗，请相互分享，如有需要请邮箱联系/(good experience Modal Decomposition of the original yet, please share with each other, if necessary please mail contact /)

A. Fusion at the Feature Extraction Level The data obtained from each sensor is used to compute a feature vector. As the features extracted from one biometric trait are independent of those extracted from the other, it is reasonable to concatenate the two vectors into a single new vector. The primary benefit of feature level fusion is the detection of correlated feature values generated by different feature extraction algorithms and, in the process, identifying a salient set of features that can improve recognition accuracy [14]. The new vector has a higher dimension and represents the identity of the person in a different hyperspace. Eliciting this feature set typically requires the use of dimensionality reduction/selection methods and, therefore, feature level fusion assumes the availability of a large number of training data.

一种匹配滤波器的MATLAB代码实现，需要者可下载(A kind of matched filter MATLAB code realization needs can be downloaded)

一级直线倒立摆 LQR控制 MATLAB simulink仿真(A linear inverted pendulum LQR control MATLAB simulink simulation)