Automatic spectral analysis in matlab

The following Matlab project contains the source code and Matlab examples used for automatic spectral analysis. Accurate estimates of the autocorrelation or power spectrum can be obtained with a parametric model (AR, MA or ARMA).

The source code and files included in this project are listed in the project files section, please make sure whether the listed source code meet your needs there.

Project Files: 

File NameSize
about.txt 1265
armasel_rs.m 11006
Contents.m 779
arh2ar.m 6902
arh2arma.m 22960
arh2ma.m 11536
contents.m 97
cic_s.m 6767
durbin2.m 1256
Contents.m 484
likelihoodR.m 595
likelihoodR_mod.m 977
detection_demo.asv 1444
detection_demo.m 1424
KLI_demo.m 1070
misdata_demo.m 1514
redstat_demo.m 1069
segments_demo.m 861
segments_unequal_demo.m 1021
subband_demo.m 1873
vectorsM_demo.asv 5119
vectorsM_demo.m 5274
vectors_demo.asv 5440
vectors_demo.m 5427
KLDiscrepancy.m 2073
KLIndex.m 1384
KLIndex_hat.m 1115
ARhat_misd.m 963
ARMLfit.m 2386
ARShat_misd.m 3566
burg_su.m 1835
Contents.m 1380
data_segments.m 1493
irr2grid.m 641
missing2seg.m 1295
sig2ar_misd.m 3010
ar2arset_e.m 5877
arma2cor_e.m 7048
ar_ma2rc.m 338
complex2real.m 1126
convolrev_e.m 5465
convol_e.m 4525
cor2ma.m 835
example_process.m 4138
gendata.m 1512
iseven.m 114
modeltype.m 927
moderr_e.m 5449
pgain.m 243
prederrAR.m 1215
psd2ar.m 983
setfields.m 687
sumARMA.m 1555
armafilterv.m 1811
ARselv.m 2147
burgv.m 1867
Contents.m 1782
cov2pcv.m 1148
dets.m 234
ma2covv.m 837
mat2sig.m 541
matmat.m 1913
par2covv.m 936
par2pcv.m 1302
pc2arset.m 2453
pc2cohv.m 1487
pc2covv.m 1435
pc2parv.m 1071
pc2rcv.m 1030
pc2resv.m 724
pc2specv.m 1005
pc2xcovv.m 970
pc2xspecv.m 1301
rc2parv.m 818
rc2pcv.m 826
sig2mat.m 651
spec2covv.m 368
traces.m 239
convv.m 260
gendatav.m 1667
isstatv.m 382
kingsize.m 388
KLDiscrepancyv.m 2988
lyap.m 2097
moderrv.m 2858
prodsumv.m 527
randncov.m 236
timesv.m 193
transposeLTI.m 343
Tsqrt.m 138
YWoutput.m 367

SocialTags: