CHAP5

用matlab实现kaiser窗，非常实用。(Using matlab to achieve kaiser window, very useful.)

基于RSSI的定位，已知发射节点的发射信号强度, 接收节点根据接收信号的强度, 计算出传播损耗, 利用理论的或经验的信号传播模型将传播损耗转化为距离, 然后再计算出节点的位置(RSSI-based positioning, known to launch the node transmission signal strength, the receiving node according to received signal strength, transmission loss calculated using the theory or experience loss of signal propagation model will spread into the distance and then calculate the location of the node)

插值拟合方法在matlaB中的实现，压缩包里面包含讲义和源代码。(Interpolation fitting method in MATLAB to achieve compression package which contains lecture notes and source code.)

关于通信系统的matlab源码,介绍的是OFDM的相关原理(About communication systems matlab source)

distributed-generation_distribution-system_Newton-Laphson in matlab mfile

System Test extends J S R166 Test Case Source Code for Andriod.

利用Matlab内建的快速傅氏变换函数可以方便地在波数域计算重磁异常导数。介绍了基于Matlab语言的波数域求导的算法，给出了程序源代码，讨论了一些有助于提高计算精度的编程技巧。通过模型试验和数据分析， 发现在计算垂向导数时波数域求导算法的精度比傅氏级数的精度有明显改善；而水平导数的计算，2种方法的精度相当。在某区钾盐勘探中，用该方法处理高精度重力剖面数据，取得了较好效果。(It is convenient to calculate derivative in wave number space using the inbuih F胛function in Matlab．This paper describes a matlab algorithm for derivative calculation of 1 D gravity and magnetic anomaly in wave number space，gives code of program and deals with some programming skills for precision improvement．Throngh model test and data analysis，it is found that the precision of the F盯method is much higher than that of the Fourier Series method in vertical derivative calculation．In horizontal derivative calculation， however，the precisions of the two methods ale almost the same．During kainite exploration in a certain basin，satisfactory result Wag obtained in the processing of gravity profile data using this method．)

人工神经网络，分别对不同的步长，训练网络，绘出相应的权值分布图，对于训练好的网络，选择特定的输入向量，得到网络的输出结果(Artificial neural networks are different steps, training network, plotted corresponding weight distribution, for the trained network, a specific input vector to obtain the output network)

本代码主要讲述了抛物型偏微分方程的向前Euler格式的差分解法。代码简单，高效。(This code mainly tells the story of parabolic partial differential equations of Euler forward format of finite difference method. The code is simple, efficient.)

The exception that is thrown when an error occurs while a {@code Certificate} is being encoded.