Campbell 21X Manual do Operador Página 116

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zerc to
pea
or
one
quarter
of
the
peak
to
value
of the
sinusoidal
signal.
MAGN
AND
PHASE
COMPONENTS
The result of the
FFT when the
magnitude and
phase
optiori
is selected is
N/2 input locations
containing
tlp magnitude components
(Mi)
followed by
llli2 input locations containing
the
phase
comppnents
(P1).
Magnitude
is half
of the
zero to
peak
amplitude or one
quarter
of
the
peak
to
pea(
value of the sinusoidal
signal.
There
is
a
magnitude and a
phase
component
for each
bin.
The value
of
ivaries
from 1
to
N/2.
The
magnitupe
and
phase
components
are
related
to thQ
real
(R;)
and
imaginary
(11)
components
1as
shown below:
Mi= SQRTI(Ri.Ri)
+
(l;"1)l
arctan
(l;/R;)
To
calculatelthe
magnitude and
phase
the 21X's
FFT a
must first compute
the real
and
Conversion
from
real
to the magnitude and
phase
requires
quitb
a bit
more
datalogger
execution
time and
no
new
information is
gained.
lf
datalogger
dxecution time
is limiting,
program
the
dataloggpr
to store the real and
imaginary
results and have
a
computer
do the
conversion
to
magnitud4 and
phase
during
the data
reduction
pl'iase.The
FFT assumes
the
signal
was samplefl
at the beginning
of each of N
intervals. Sifice
the FFT assumes
the
signal
is
periodic
witfria
period
equalto
the total sampling
period,
the
rpsult of its
phase
calculation at each
frequency component
is the average
of
the
phase
atthd,
beginning of the
first interval with
the
phase
a! the
endof
the
last
interval.
The
phase
is the
angle
(0
360 degrees)
of
the
cosine
wave that describes the
signal at a
pafticular
point
in time.
POWER SPECTRA
The
result of the
FFT
when
the
power
spectra
option
is selpcted
is
N/2 bins
of spectralenergy
(PSi)
represBnting
frequencies
from 0 Hzto 1/2
the
samplin$
frequency. The
value of i varies
from
1 to N/2.
The result in each
bin i,
is
related
to
the
magnltude
(M;)
of the
wave
in
the
following
m4nner:
14)
15I
SECTION 10.
PROCESSING INSTRUCTIONS'
where
the
magnitude
is
half
of the
zero to
peak
amplitude or one
quarter
of the
peak
to
peak
value
of
the sinusoidal signal.
The
power
spectra
can
also
be expressed as
either
of
the
following:
PSi=
N*(Ui*Ui)
l7l
PS;= F*1*19'*g';
t8l
U1 is
defined
as the
root mean square
(RMS)
value
of
the sine component
of frequency
i
(f,)
(Ui
=
magnitude
(M;)
of
the sine
wave
multiplied
by
the
square
root of 2)
in units
of the
input
signal
multiplied
by the
scaling
multiplier.
In
equation 8, F
is
the sampling
frequency
(Hz)
and
T is
the duration
of the
original
time
series data
(seconds).
When
the
FFT results
are expressed
in
terms of
the
power
spectra,
a multiplier of
1 will cause
the
average
of allthe bins to be
very nearly
equal
to twice
the variance of the original data.
FFT
RESULTS
WITH
BIN
AVERAGING
When
bin averaging
is
specified,
the
FFT
results
can
only
be calculated in terms
of the
power
spectra.
The rest of this
section
deals
with
the
DC
component,
bin frequency, and the
power
spectra results.
An example showing
bin
averaging FFT results is
given
in Section 8.8.2.
DC
COMPONENT
Before
the
FFT is applied,
the
average of the
originaltime series data
is
subtracted
from
each
value. This is done to maintain the
resolution of
the
math
in the rest of
the
FFT calculations.
When
bin
averaging
is
specified then
the DC
component is not output.
BIN
FREQUENCY
The
band
width or the frequency
covered
by
each
averaged
bin
is
equalto
FA/N where F is
the
sample
frequency in Hz
(1/scan
interval in
seconds)
and
A is the number of bins
being
averaged.
The
frequency
(f,)
of
any
given
averaged bin i
where i ranges from 1
to
(N/2A)-1
is
given
by
the
following
equation:
i-1
*F*A/N<fi<i*F*A/N
tgl
PSi- 2.N.(Mi.Mi)
t6l
10-9
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