无线传感器节点部署定位模糊聚类算法采用数量积求相似矩阵

BOOK:Beginning Algorithms Code Examples(BOOK : Beginning Algorithms Code Examples)

模糊聚类分析动态聚类分析程序，很简单，实用。附带有聚类图程序(Dynamic fuzzy clustering analysis Cluster analysis procedure is very simple and practical. Figure comes with a clustering procedure)

matlab基本知识教程以及在现实中的一些应用(basic knowledge of matlab tutorials and some applications in the real world)

说明：  这是在matlab开发环境下，编程实现基于小波变换的音频水印的嵌入，提取，检测等工作。(It is the matlab code for audio waterprint based on wavelet transform,embeding and extration of the waterprint are included.)

是基于LeventCodes平台作的。BivaShrink方法、模型1、模型2、模型3（TrivaShrink方法）、BayesShrink方法、 LAWMLShrink方法的DWT实现和DT_CWT实现。 (Is made based on LeventCodes platform. BivaShrink method, model 1, model 2, model 3 (TrivaShrink method), BayesShrink method, LAWMLShrink method of DWT implementation and DT_CWT achieve.)

这个代码是用Matlab写的心形代码，是通过点的形式编写的，看起来很有意思。(This code is written using Matlab heart-shaped code, through the form of written, looks very interesting.)

空气质量降维B-P神经网络评价法及其MATLAB实现 简介: 用主成分分析将多维空间的样本数据降维到低维空间，将其作为BP网络的输入。BP网络的算法采用LM优化法。描述了该网络的MATLAB程序语言实现过程。(Air quality dimension reduction BP neural network uation method on MATLAB Introduction: Using principal component analysis will drop the sample data in multidimensional space dimension to low-dimensional space, as the input of BP network. BP network algorithm using LM optimization method. The network describes the MATLAB programming language implementation process.)

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说明：  控制受控电流源模拟光伏电池PV、IV外特性(Controlled current source analog control external characteristics of photovoltaic cells)

对于一幅输入图像，将产生一幅输出图像，输出图像的每个像素点的灰度值由输入像素点决定，将感兴趣特征的对比度扩展使之占据可显示灰度级的更大部分。使一输入图像转换为在每一灰度级上都有相同的像素点数，均衡化会减少灰度级数。大多数自然图像由于其灰度值分布集中在较窄的范围之内，引起图像细节不够清楚。采用直方图修正后可使图像的灰度间距拉大或使灰度均匀分布，从而增大了反差，使图像细节清楚，达到增强的目的。(For an input image, will produce an output image, the output image gray value of each pixel from the input pixel decided to expand interest in the contrast of features to make it account for more gray levels can be displayed most. Make an input image is converted to grayscale in each pixel have the same points, equalization will reduce the gray series. Most natural images because of their gray value distribution concentrated in a narrow range, causing the image detail is not clear enough. Make the image histogram revised by the gray space widening or so gray uniform distribution, thereby increasing the contrast between the image details clear objective to achieve enhanced.)