文件名称:AutomaticSpectra
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Accurate estimates of the autocorrelation or power spectrum can be obtained with a parametric model (AR, MA or ARMA). With automatic inference, not only the model parameters but also the model structure are determined from the data. It is assumed that the ARMASA toolbox is presen
相关搜索： arma
ARMA
matlab
AR
matlab
ARMA
autocorrelation
arma
spectrum
ARMA
power
spectrum
power
AutomaticSpectra
AR
matlab
ARMA
matlab
AR
matlab
ARMA
autocorrelation
arma
spectrum
ARMA
power
spectrum
power
AutomaticSpectra
AR
matlab
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AutomaticSpectra
................\about.txt
................\armasa_rs
................\.........\armasel_rs.m
................\.........\Contents.m
................\.........\estimation
................\.........\..........\arh2ar.m
................\.........\..........\arh2arma.m
................\.........\..........\arh2ma.m
................\.........\..........\contents.m
................\.........\..........\estimator_tools
................\.........\..........\...............\cic_s.m
................\.........\..........\...............\durbin2.m
................\Detection
................\.........\Contents.m
................\.........\likelihoodR.m
................\.........\likelihoodR_mod.m
................\Examples
................\........\detection_demo.asv
................\........\detection_demo.m
................\........\KLI_demo.m
................\........\misdata_demo.m
................\........\redstat_demo.m
................\........\segments_demo.m
................\........\segments_unequal_demo.m
................\........\subband_demo.m
................\........\vectorsM_demo.asv
................\........\vectorsM_demo.m
................\........\vectors_demo.asv
................\........\vectors_demo.m
................\KullbackLeibler
................\...............\KLDiscrepancy.m
................\...............\KLIndex.m
................\...............\KLIndex_hat.m
................\SegmentsMissing
................\...............\ARhat_misd.m
................\...............\ARMLfit.m
................\...............\ARShat_misd.m
................\...............\burg_su.m
................\...............\Contents.m
................\...............\data_segments.m
................\...............\irr2grid.m
................\...............\missing2seg.m
................\...............\sig2ar_misd.m
................\TimserTools
................\...........\ar2arset_e.m
................\...........\arma2cor_e.m
................\...........\ar_ma2rc.m
................\...........\complex2real.m
................\...........\convolrev_e.m
................\...........\convol_e.m
................\...........\cor2ma.m
................\...........\example_process.m
................\...........\gendata.m
................\...........\iseven.m
................\...........\modeltype.m
................\...........\moderr_e.m
................\...........\pgain.m
................\...........\prederrAR.m
................\...........\psd2ar.m
................\...........\setfields.m
................\...........\sumARMA.m
................\Vectors
................\.......\armafilterv.m
................\.......\ARselv.m
................\.......\burgv.m
................\.......\Contents.m
................\.......\conversions
................\.......\...........\cov2pcv.m
................\.......\...........\dets.m
................\.......\...........\ma2covv.m
................\.......\...........\mat2sig.m
................\.......\...........\matmat.m
................\.......\...........\par2covv.m
................\.......\...........\par2pcv.m
................\.......\...........\pc2arset.m
................\.......\...........\pc2cohv.m
................\.......\...........\pc2covv.m
................\.......\...........\pc2parv.m
................\.......\...........\pc2rcv.m
................\.......\...........\pc2resv.m
................\.......\...........\pc2specv.m
................\.......\...........\pc2xcovv.m
................\.......\...........\pc2xspecv.m
................\.......\...........\rc2parv.m
................\.......\...........\rc2pcv.m
................\.......\...........\sig2mat.m
................\.......\...........\spec2covv.m
................\.......\...........\traces.m
................\.......\convv.m
................\.......\gendatav.m
................\.......\isstatv.m
................\.......\kingsize.m
................\.......\KLDiscrepancyv.m
................\.......\lyap.m
................\.......\moderrv.m
................\.......\prodsumv.m
................\.......\randncov.m
...
................\about.txt
................\armasa_rs
................\.........\armasel_rs.m
................\.........\Contents.m
................\.........\estimation
................\.........\..........\arh2ar.m
................\.........\..........\arh2arma.m
................\.........\..........\arh2ma.m
................\.........\..........\contents.m
................\.........\..........\estimator_tools
................\.........\..........\...............\cic_s.m
................\.........\..........\...............\durbin2.m
................\Detection
................\.........\Contents.m
................\.........\likelihoodR.m
................\.........\likelihoodR_mod.m
................\Examples
................\........\detection_demo.asv
................\........\detection_demo.m
................\........\KLI_demo.m
................\........\misdata_demo.m
................\........\redstat_demo.m
................\........\segments_demo.m
................\........\segments_unequal_demo.m
................\........\subband_demo.m
................\........\vectorsM_demo.asv
................\........\vectorsM_demo.m
................\........\vectors_demo.asv
................\........\vectors_demo.m
................\KullbackLeibler
................\...............\KLDiscrepancy.m
................\...............\KLIndex.m
................\...............\KLIndex_hat.m
................\SegmentsMissing
................\...............\ARhat_misd.m
................\...............\ARMLfit.m
................\...............\ARShat_misd.m
................\...............\burg_su.m
................\...............\Contents.m
................\...............\data_segments.m
................\...............\irr2grid.m
................\...............\missing2seg.m
................\...............\sig2ar_misd.m
................\TimserTools
................\...........\ar2arset_e.m
................\...........\arma2cor_e.m
................\...........\ar_ma2rc.m
................\...........\complex2real.m
................\...........\convolrev_e.m
................\...........\convol_e.m
................\...........\cor2ma.m
................\...........\example_process.m
................\...........\gendata.m
................\...........\iseven.m
................\...........\modeltype.m
................\...........\moderr_e.m
................\...........\pgain.m
................\...........\prederrAR.m
................\...........\psd2ar.m
................\...........\setfields.m
................\...........\sumARMA.m
................\Vectors
................\.......\armafilterv.m
................\.......\ARselv.m
................\.......\burgv.m
................\.......\Contents.m
................\.......\conversions
................\.......\...........\cov2pcv.m
................\.......\...........\dets.m
................\.......\...........\ma2covv.m
................\.......\...........\mat2sig.m
................\.......\...........\matmat.m
................\.......\...........\par2covv.m
................\.......\...........\par2pcv.m
................\.......\...........\pc2arset.m
................\.......\...........\pc2cohv.m
................\.......\...........\pc2covv.m
................\.......\...........\pc2parv.m
................\.......\...........\pc2rcv.m
................\.......\...........\pc2resv.m
................\.......\...........\pc2specv.m
................\.......\...........\pc2xcovv.m
................\.......\...........\pc2xspecv.m
................\.......\...........\rc2parv.m
................\.......\...........\rc2pcv.m
................\.......\...........\sig2mat.m
................\.......\...........\spec2covv.m
................\.......\...........\traces.m
................\.......\convv.m
................\.......\gendatav.m
................\.......\isstatv.m
................\.......\kingsize.m
................\.......\KLDiscrepancyv.m
................\.......\lyap.m
................\.......\moderrv.m
................\.......\prodsumv.m
................\.......\randncov.m
...