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getrmsfeat
This function computes the RMS feature of the signals in x,which are stored in columns. The signals in x are divided into multiple windows of size winsize and the windows are space wininc apart.
Inputs
x: columns of signals
winsize: window size (length of x)
wininc: spacing of the windows (winsize)
datawin: window for data (e.g. Hamming, default rectangular)
must have dimensions of (winsize,1)
dispstatus:zero for no waitbar (default)
Outputs
feat: RMS value in a 2 dimensional matrix
dim1 window
dim2 feature (col i is the features for the signal in column i of x)
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- 积分:1
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wgh
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说明: 本文通过对目前常用的现代谱估计方法一一最大墒谱估计方法中的谱
峰幅度和谱线分辫率两个基本问题的分析和讨论,和经典的傅立叶谱估计方法作比
较,指出在最大墒谱估计方法的应用中应注意的几个问题。
(Based on the currently used modern spectral estimation method 11 method of maximum entropy spectral estimation of the spectral peak amplitude and spectral resolving power are two basic problems of analysis and discussion, and the classical Fourier spectrum estimation methods for comparison, that the maximum Application of entropy spectral estimation method should pay attention to several issues.)
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FDTD算法编程,利用matlab软件。包含一维和二维情况(FDTD algorithm programming, using matlab software
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