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关于Matlab的Tools的常见问题的介绍(Matlab s Tools on the Frequently Asked Questions Introduction)

2009 Multimedia GroupT 工程师学院全英文教程，详细讲述了声音和图像两部分，此部分为（上）。(2009 Multimedia GroupT Engineers in English tutorials, detailed account of the sounds and images of two parts, this part is (above).)

FFT accumulation method (FAM) in Matlab

A Simple RBF Matlab Implementation

分别利用fisher判别法和近邻法对一组声呐数据进行模式识别，计算分类的正确率(Respectively, and the use of fisher discriminant method nearest neighbor method sonar data to a set of pattern recognition, to calculate the correct classification rate)

BP（Back Propagation）网络是一种按误差逆传播算法训练的多层前馈网络，是目前应用最广泛的神经网络模型之一。 BP网络能学习和存贮大量的输入-输出模式映射关系，而无需事前揭示描述这种映射关系的数学方程。 它的学习规则是使用最速下降法，通过反向传播来不断调整网络的权值和阈值，使网络的误差平方和最小。BP神经网络模型拓扑结构包括输入层（input）、隐层(hide layer)和输出层(output layer)。 通过对信息的提取以及记忆，用作分类、聚类、预测等。 (BP (Back Propagation) network is a pre-press error back propagation algorithm Multilayer feedforward network, is one of the most widely used neural network model. BP network can learn and store a large amount of input- output mode mapping without prior reveal mathematical equations that describe the mapping relationship. It s learning rule is to use the steepest descent method, by reverse spread to constantly adjust the network weights and thresholds and the minimum sum of squared error of the network. BP neural network topology comprises an input layer (input), hidden layer (hide layer) and an output layer (output layer). By extracting information and memory, it is used as classification, clustering, prediction.)

说明：  将一个月中前30天的历史数据训练成神经网络，预测一个月中第31日海浪的值(The historical data of the first 30 days of a month are trained into neural network to predict the value of waves on the 31st day of a month)

一个用循环谱原理给出的计算程序,可以画出信号的图形(a cyclic spectrum )

用matlab编程，实现C2-continuity的瓶子，用户输入瓶子的截面(generation of c2-continuity bottle)

A great book from Mustafa Ergen about wireless communications in LTE, WiMaX and mobile broadband with the title Mobile Boradband including WiMaX and LTE .