Stegno

应用经典prony法和AR参数建模进行模态参数识别(Prony method and the application of the classical AR modeling parameters for modal parameter identification)

一本关于MATLAB6.5的电子书籍，上面有很多经典的例子，非常适合初学者与科研工作者使用。(it is a good book about MATLAB6.5 , there is a lot of the classic examples in it,and it s very suitable for beginners and research workers.)

matlab做的关于最短路问题的实现。包含了2个课件。(matlab done on the realization of the shortest path problem. Contains two courseware.)

锁相环的matlab实现及仿真，PPL原理及仿真(Phase-locked loop matlab implementation)

这是matlab中常用的快捷键，可以使你使用matlab更顺手。(This is the common shortcut keys of matlab.It can make you use matlab better.)

说明：  UUV 编队模型，matlab仿真程序。。。(UUV formation model, matlab emulator.)

％ If only 1 output is specified, then dataout (a matrix the same size as ％ data) is returned. The order of t and align is immaterial, as long as ％ the data matrix is input first.( If only 1 output is specified, then dataout (a matrix the same size as data) is returned. The order of t and align is immaterial, as long as the data matrix is input first.)

it contains use case specification templates for a software engineering project

说明：  关于matlab的详解以及各个命令，比较齐全(With regard to the Xiangjie matlab and various orders, a relatively complete)

这个MATLAB软件包实现了小波在一维Gabior样转换的文件中所述： [1] K.N.乔杜里，M.，王凤琴，“建设希尔伯特变换的双 波基和Gabor变换，“对信号的IEEE交易 加工，第一卷。 57，没有。 9，3411-3425，2009年9月。 作者：K.N.乔杜里。 模块如下： --------------------------- 1。 demo.m 一个简单的例子演示软件的使用。 2。 autcorr.m 计算自相关函数的频率响应。 3。 filters.m 计算尺度和小波滤波器。 4。 projectionFilters.m 到近似计算的投影最小二乘过滤器 空间。 5。 analysis.m 计算复杂的小波子在不同的分辨率。 6。 synthesis.m 从低通逼近和重构原始信号 小波系数。 7。 displayResults.m 显示输入信号，真实，小波虚componenets 子带，在每一项决议和其modlus和相位，也是 重建信号和错误的。 8。 exception.m(This MATLAB package implements the Gabior-like wavelet transform in 1-dimension as described in the paper: [1] K.N. Chaudhury, M. Unser, "Construction of Hilbert Transform Pairs of Wavelet Bases and Gabor-Like Transforms," IEEE Transactions on Signal Processing, vol. 57, no. 9, pp. 3411-3425, September 2009. Author: K.N. Chaudhury. The modules are as follows: --------------------------- 1. demo.m Demonstrates the usage of the software with a simple example. 2. autcorr.m Computes the frequency response of the autocorrelation function. 3. filters.m Computes the scaling and wavelet filters. 4. projectionFilters.m Computes the filters for the least-squares projection onto the approximation spaces. 5. analysis.m Computes the complex wavelet subbands at different resolutions. 6. synthesis.m Reconstructs the original signal from the lowpass approximation and the wavelet coefficients. 7. displayResults.m Disp)