FundamentalsOfWirelessCommunication

Welch法：Welch法对Bartlett法进行了两方面的修正：一是选择适当的窗函数w(n)，并在周期图计算前直接加进去，加窗的优点是无论什么样的窗函数均可使谱估计非负。二是在分段时,可使各段之间有重叠，这样会使方差减小。(Welch method: Welch method of Bartlett method amendments in two respects: First, select the appropriate window function w (n), and in the cycle before CALPHAD directly incorporated, plus the advantage of the window, no matter what kind of window function can be so spectral estimation of non-negative. Second, when in subparagraph can overlap between paragraphs, this would reduce the variance.)

锅炉燃烧系统的模糊预测控制，完整的程序设计流程图(Boiler combustion system of fuzzy predictive control, complete the program flow chart)

说明：  这是利用改进的kalman滤波来处理GPS信号，通过与传统的kalman滤波比较得到较好的效果。直接解压，就可以导入work里运行。(This is the improved GPS kalman filter to process the signal, by comparison with the traditional kalman filter get better results. Direct decompression to work can be imported to run. )

ecma-368 ultra wide band ber test4

Script used in the Japanese webinar for image processing and computer vision held on Mar. 01, 2013

一个matlab的GUI界面计算器例子，是我以前的课程设计，用matlab7.0编写的。(A matlab GUI interface Calculator example, I' ve curriculum design, written with matlab7.0.)

无迹卡尔曼滤波器(Unscented Kalman Filtering)的MATLAB实现(ukf(Unscented Kalman Filtering)MATLAB implementation)

基于传输矩阵法（TMM）计算VCSOA（垂直腔半导体光放大器）的稳态增益的程序。由于是从将输入端功率Pin作为已知条件，程序用Matlab优化工具箱中的fsolve函数计算了满足边界条件时的输出功率。这对于相关研究开发都是较好的资料。(This is a set of source codes, which are used for calculating the steady state gain of VCSOA based on the transfer matrix method(TMM). Since the input power of the VCSOA is regarded as a already-known condition, this program, the function "fsolve" in the Matlab Optimization Toolbox is used for obtaining the output power of the VCSOA when the input power is at some value. This is a good material for further studying the related problems, especially when using the Matlab for device simulations. )

matlab基础与应用教程，ppt版，阅读方便，介绍详尽。(Basic and Applied tutorial matlab)

软硬阈值函数和自定义的基于非线性变换阈值函数曲线图(Hard and soft threshold function and custom thresholding function based on nonlinear transformation curve)