
SECTION 10.
PROCESSING
INSTRUCTIONS
PAR.
DATA
NO.
TYPE
DESCRIPTION
01:
4 Input
location
no. of
atmospheric
pressure
in kilopascals
IPRESSURE]
02:
4
Input location
no.
of dry-bulb temp.
IDB
rEMP.l
03:
4
lnput
location no.
of wet-bulb
temp.
IWB
TEMP.]
04:
4
Dest.
input location
for vapor
pressure
Input
locations altered:
1
[VP
or Z]
***
58 LOW
PASS FILTER
***
FUNCTION
Apply
a
numerical
approximation
to an analog
resistor capacitor
(RC)
low
pass
(LP)
filter using
the following algorithm.
F(X;)
=
W*X;+
F(X;_1).
(1-W)
Where, X
=
inputsample,
W
=
user entered weighting
function,
o<w<1
lf W=O,
F(X|)=X1; if W=1
,
F(X|)=X,
F(Xi-1)
=
output calculated
for
previous
sample.
The
equivalent RC time
constant is
given
by
TAIV,
where
T is
the
sampling time in
seconds.
For values of W less
than 0.25,
the analogous
"cut
off"
frequency
(the
frequency
where the
ratio
of output
to input
is .707) is
accurately
represented by W/(2IIT). For
larger values of W,
this
"analog"
estimate
of the cutoff frequency
becomes
less representative.
On the first execution after
compiling, F(x)
is
set
equalto X.
PAR. DATA
NO.
TYPE DESCRIPTION
***
59 BRIDGE TRANSFORM
'**
FUNCTION
This instruction is used
to aid in the conversion
of
a
ratiometric Bridge measurement
by
obtaining
the value
for R. which
is equivalent
to
Rf[)V(1-X)], where X is
the
value
derived
by the
standard 21X Bridge Measurement Programs
(with
appropriate
multiplier
and otfset,
Section
13.5)
and R1 represents the MULTIPLIER
value
The result
of
Instruction
59
is
stored in the
same location that
X was.
PAR.
DATA
NO. TYPE
DESCRIPTION
Repetitions
Starting
input location and
01: 2
02: 4
destination
03: FP Multiplier
(Rf)
tx
IMULT.
01: 2
o2'. 4
03: 4
data
Repetitions
[REPS]
First
input location
for input data
txl
Dest. input
location
for filtered
lnput
locations altered:
1 for
each repetition
***
60 FAST
FOURIER TRANSFORM
***
THEORY
Instruction
60
performs
a
Fast
Fourier
Transform
(FFT)
on a set of data contained in
contiguous locations in Input Storage. The FFT
is
used to obtain
information
on the relative
magnitudes
and
phases
of
the
various f
components in
a
time
varying
signal. FFT
requires
that the
signal be
sampled at a
frequency
that
is at
least
two times faster
than
the highest frequency component in the signal.
For example,
a signal
representing ocean
with a maximum
frequency
of 0.125 Hz would
need to be sampled at a
rate
of 0.25 Hz or
greater.
The
measurements
must
be
made
at
the
appropriate sampling
rate
and stored in
contiguous
input
locations
before the FFT can
be applied. The
measured
data stored in
sequential input locations
is
also referred to as
the
"originaltime
series data".
The results
of the
FFT
can be expressed
as:
1)
the realand imaginary components, 2)
the
magnitude
and
phase
components, or 3)
the
power
spectra. The real and imaginary results
are analogous
to
the orthogonal
(east
and
representation
of
a wind vector.
The magnitude
and
phase
results are analogous to
the
polar
(speed
and direction)
representation
of a wind
vector. The
power
spectra results indicate
the
[F(X)
or z]
04:
FP
Weighting
function,
W
IWI
lnput
locations altered:
1 for
each repetition
10-6
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