Bloss

粒子群算法的工具箱，可以不用再编程,参数设置也容易(Particle swarm optimization toolbox, you can not re-programming, parameter settings are also easily)

matlab写的语音短时时域处理的代码。 里面有详细的介绍和要求。(matlab written speech short time domain processing code)

基于MATLAB编程能计算任意个节点的介数(Can calculate the betweenness of any node Based on MATLAB programming)

计算有向网络中节点的加权leaderrank值(There are values ​ ​ to calculate the weighted leaderrank nodes in the network)

本书详细介绍matlab的基本用法，对于初学者比较有用，简单易懂(Matlab book details the basic usage, more useful for beginners, easy-to-read)

捷联惯性导航滤波算法ｍａｔｌａｂ仿真,一定对哪些初学者有帮助(strapdown navigationg filtering algorithm)

说明：  改进防碰撞扩展ALOHA的matlab仿真算法(ALOHA anti-collision expansion of the improved simulation algorithm matlab)

Cover switch is at OMAP_MPUIO(3).

说明：  这是利用特征值分解的盲源分离的源函数文件，可以直接调用(This is the eigenvalue decomposition of Blind Source Separation of source function, can be called directly)

用Parzen窗法或者kn近邻法估计概率密度函数，得出贝叶斯分类器，对测试样本进行测试，比较与参数估计基础上得到的分类器和分类性能的差别.2． 同时采用身高和体重数据作为特征，用Fisher线性判别方法求分类器，将该分类器应用到训练和测试样本，考察训练和测试错误情况。将训练样本和求得的决策边界画到图上，同时把以往用Bayes方法求得的分类器也画到图上，比较结果的异同。3．选择上述或以前实验的任意一种方法，用留一法在训练集上估计错误率，与在测试集上得到的错误率进行比较。(Use Parzen Windows method or the kn neighbor method estimated probability density function, draw the bayes classifier, to test sample to test, and the parameter estimation is based on the classifier and get the difference of classification performance. 2. At the same time the height and weight data as the characteristic, with Fisher identification method for linear classifier, and the application of the classifier to training and test sample, investigation and test training error condition. Will the training sample and utility of decision on the drawing boundary paint, and at the same time before the Bayes method with optimal classifier also paint chart, the result of the comparison of the similarities and differences. 3. Select the above or before any a kind of method of experiment, with a method for training set in the estimation error rates, and on the test set get error rates are compared.)