Hi SAC users,
I have a somewhat stupid question about integration in SAC.
SAC provides two methods to do integration: time-domain (int) and
frequency-domain (divomega).
"int" uses the trapezoidal method and the first data point in the
integrated time-series is assumed to be zero.
"divomega" uses the Fourier transform properties integral=IFFT[ FFT[ x(t )]
/ i w ], in which w is angular frequency and x(t) is time series. Is this
method making any assumptions ? What happens at the first frequency point
(sum of x(t)) ?
Thanks for your help.
Regards,
Avinash Nayak
I have a somewhat stupid question about integration in SAC.
SAC provides two methods to do integration: time-domain (int) and
frequency-domain (divomega).
"int" uses the trapezoidal method and the first data point in the
integrated time-series is assumed to be zero.
"divomega" uses the Fourier transform properties integral=IFFT[ FFT[ x(t )]
/ i w ], in which w is angular frequency and x(t) is time series. Is this
method making any assumptions ? What happens at the first frequency point
(sum of x(t)) ?
Thanks for your help.
Regards,
Avinash Nayak
-
Dear All -
A simple experiment with SAC:
SAC> fg seismogram; rmean; int
SAC> lh
FILE: SEISMOGR
--------------
NPTS = 999 B = 9.4650
E = 19.4450 IFTYPE = TIME SERIES FILE
LEVEN = TRUE DELTA = 0.10E-01
IDEP = UNKNOWN DEPMIN = -0.519559E-01
DEPMAX = 0.524975E-01 DEPMEN = -0.192864E-02
OMARKER = -43.2000 AMARKER = 10.4700
FMARKER = 17.7800 KZDATE = MAR 29 (088), 1981
KZTIME = 10:38:14.000 IZTYPE = BEGIN TIME
KSTNM = CDV CMPAZ = 0.0
CMPINC = 0.0 STLA = 48.0
STLO = -120.0 KEVNM = K8108838
EVLA = 48.0 EVLO = -125.0
EVDP = 0.0 IEVTYP = AFTERSHOCK
DIST = 373.063 AZ = 88.1471
BAZ = 271.853 GCARC = 3.35746
LOVROK = TRUE
SAC> fg seismogram; rmean; fft; divomega; ifft
(10.6d)FFT default change: not removing the mean
DC level after DFT is 0.10729E-07
SAC> lh
FILE: SEISMOGR
--------------
NPTS = 1000 B = 9.460
E = 19.450 IFTYPE = TIME SERIES FILE
LEVEN = TRUE DELTA = 0.10E-01
IDEP = VELOCITY (VOLTS) DEPMIN = -0.503674E-01
DEPMAX = 0.547946E-01 DEPMEN = -0.450176E-04
OMARKER = -43.2000 AMARKER = 10.4700
FMARKER = 17.7800 KZDATE = MAR 29 (088), 1981
KZTIME = 10:38:14.000 IZTYPE = BEGIN TIME
KSTNM = CDV CMPAZ = 0.0
CMPINC = 0.0 STLA = 48.0
STLO = -120.0 KEVNM = K8108838
EVLA = 48.0 EVLO = -125.0
EVDP = 0.0 IEVTYP = AFTERSHOCK
DIST = 373.063 AZ = 88.1471
BAZ = 271.853 GCARC = 3.35746
LOVROK = TRUE
SAC>
The difference between the “int” and “divomega” results is one data point less in the resulting trace. The two traces, though numerically different, are visually identical and may be overlaid for comparison.
On 10 Jan 2020, at 02:39, Avinash <avinash07guddu<at>gmail.com> wrote:
George Helffrich
Hi SAC users,
I have a somewhat stupid question about integration in SAC.
SAC provides two methods to do integration: time-domain (int) and frequency-domain (divomega).
"int" uses the trapezoidal method and the first data point in the integrated time-series is assumed to be zero.
"divomega" uses the Fourier transform properties integral=IFFT[ FFT[ x(t )] / i w ], in which w is angular frequency and x(t) is time series. Is this method making any assumptions ? What happens at the first frequency point (sum of x(t)) ?
Thanks for your help.
Regards,
Avinash Nayak
----------------------
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