Ntapers = 8
psd, f, jackknife, _, _ = mtspec(data=st[0].data,
delta=st[0].stats.delta,
time_bandwidth=Tw,
number_of_tapers=Ntapers,
nfft=st[0].stats.npts,
statistics=True)
#resample spectra to regular periods
period = (1. / f) / 60
period_interp = arange(12, 120, 0.001)
f = interp1d(period, psd)
psd_interp = f(period_interp)
#Smooth over
psd_median = rm(psd_interp, 700)
fill1 = (len(psd_interp) - len(psd_median)) / 2
fill2 = fill1 + 1
psd_median = r_[zeros(fill1), array(psd_median), zeros(fill2)]
##################################
#### WHole spectrum pressure
Tw = 5
Ntapers = 8
psd_pres, f_pres, jackknife, _, _ = mtspec(data=stp[0].data,
delta=stp[0].stats.delta,
time_bandwidth=Tw,
number_of_tapers=Ntapers,
nfft=stp[0].stats.npts,
#### WHole spectrum Tw=5 Ntapers=8 psd, f, jackknife, _, _ = mtspec(data=st[0].data, delta=st[0].stats.delta, time_bandwidth=Tw,number_of_tapers=Ntapers, nfft=st[0].stats.npts, statistics=True) #resample spectra to regular periods period=(1./f)/60 period_interp=arange(12,120,0.001) f=interp1d(period,psd) psd_interp=f(period_interp) #Smooth over psd_median=rm(psd_interp,700) fill1=(len(psd_interp)-len(psd_median))/2 fill2=fill1+1 psd_median=r_[zeros(fill1),array(psd_median),zeros(fill2)] ################################## #go to period period_spec=1./fspec[1:] #Fitler fcorner=1./(2*3600) def highpass(data,fcorner,fsample,order):
st[0].data = st[0].data - mean(st[0].data)
psd_total, f_total, jackknife, _, _ = mtspec(data=st[0].data,
delta=st[0].stats.delta,
time_bandwidth=Tw,
number_of_tapers=Ntapers,
nfft=st[0].stats.npts,
statistics=True)
#resample spectra to regular periods
period_total = (1. / f_total) / 60
period_interp = arange(12, max_period, 0.001)
f = interp1d(period_total, psd_total)
psd_interp = f(period_interp)
#Smooth over
psd_median = rm(psd_interp, median_window)
fill1 = (len(psd_interp) - len(psd_median)) / 2
fill2 = fill1 + 1
psd_median = r_[zeros(fill1), array(psd_median), zeros(fill2)]
psd_lims = psd_median.max() * 2
#Now work on spectrogram
#Make time variable
time = arange(Nsamples * dt / 2, st[0].times()[-1], dt * Nsamples / 2)
Nslices = len(time)
print Nslices
#get spectrogram
sample1 = 0
sample2 = sample1 + Nsamples