CNN实现道路特征提取

实现立体空间的多目标空间定位，对于被动测距问题，有着深入的思考和功能仿真。(Multi-dimensional space to achieve target location, for passive ranging issues, with in-depth thinking and functional simulation.)

使用SVM进行多类的一对一分类，有利于初学者对SVM进行快速入门(The function of the code is to classify multiple classes using one-to-one SVM, which must be very useful for beginners.)

一篇关于高精度的，对声源定位的的方法介绍(_A High-Accuracy, Low-Latency Technique for Talker Localization in Reverberant Environments Using Microphone Arrays----SRP-PHAT)

分数阶变换课件，包括MATLAB实现函数，对比分析其利弊(Fractional conversion courseware, including MATLAB implementation function, comparative analysis of the pros and cons)

主要介绍了分布估计算法方面关于熵的介绍，实现最大熵分布估计算法(Mainly introduces the estimation of distribution algorithm on entropy is introduced, the realization of maximum entropy estimation of distribution algorithm )

关于SMITH圆图的MATLAB相关设计及说明(SMITH chart of MATLAB on the design and description of relevant)

通过例子，解释主成分分析和因子分析之间的区别，方便大家学习(Examples to explain the difference between the principal component analysis and factor analysis to facilitate learning)

FCM算法是一种基于划分的聚类算法，它的思想就是使得被划分到同一簇的对象之间相似度最大，而不同簇之间的相似度最小。模糊C均值算法是普通C均值算法的改进，普通C均值算法对于数据的划分是硬性的，而FCM则是一种柔性的模糊划分(FCM algorithm is a clustering algorithm based on the division, which makes the idea is to be divided into clusters with the greatest similarity between the object, and the similarity between different cluster minimum. Fuzzy C-means algorithm is an ordinary C-means algorithm, the general C-means algorithm for the data are divided into hard and fast, and FCM is a soft fuzzy partition)

solution of differential equations of the type boundary value problems

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