TIME VARRING AUTO REGRESSIVE APPROACH
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With improvements in signal processing some new models with enhanced features are made available.TVAR is on similar pattern.This model is better than conventional am-fm model in some respect as it facilates the implementation of same algo on various signals bearing different parameters. Use of Non LInear Energy (NLE)operator is an important aspect. HOpe this will be of help to others using matlab.The algo is present within code.
Free download from Shareware Connection - With improvements in signal processing some new models with enhanced features are made available
Version: 1.0 | Size: 10 KB | Platform: Matlab, Scripts
Released Date: 19-02-2013 | Rating: 0 | Title: TIME VARRING AUTO REGRESSIVE APPROACH
Author Url: http://www.mathworks.com/
Program Info Url: http://www.mathworks.com/
Download Url: http://www.mathworks.com/matlabcentral/fx_files/13850/1/amfmfinal.m
DESA-1 and NLE OPERATOR - DESA-1 and NLE OPERATOR PROVIDES ALGORITHM FOR DESA-1 AND USES NON LINEAR ENERGY OPERATOR ON AM SIGNAL
ESTIMATION PROCESS USING NON LINEAR ENERGY OPERATOR - Estimation of various parametres of any signal is of prime importance in signal analysys.
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Time Window Based Cross-correlation - This code calculates the cross-correlation for specified time windows over the duration of two input signals
Shaded time series - Use this function to plot several time series aligned beneath each other with shaded blocks highlighting important sections.
ESTIMATION PROCESS USING NON LINEAR ENERGY OPERATOR - Estimation of various parametres of any signal is of prime importance in signal analysys.
Measures of Analysis of Time Series toolkit (MATS) - Measures of Analysis of Time Series (MATS) toolkit computes a number of different measures of analysis of scalar time series (linear, nonlinear and other statistical measures)
Cross Time DSP - Cross Time DSP implements conventional forward time IIR processing of music files as well as time reversed IIR.
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