ArbStudio
76
918221
RevA
The
selectable
functions
and
their
available
parameters
include:
Type
Parameters
Sine
Cycles,
Amplitude*,
Phase
(°),
Offset*
Cosine
Cycles,
Amplitude*,
Phase
(°),
Offset*
Triangle
Cycles,
Amplitude*,
Phase
(°),
Offset*
Rectangle
Cycles,
Amplitude*,
Phase
(°),
Offset*,
Duty
Cycle
(%)
Sawtooth
Cycles,
Amplitude*,
Phase
(°),
Offset*
Increase
Ramp
Amplitude*,
Offset*
Decrease
Ramp
Amplitude*,
Offset*
Table
3
‐
1.Asterisk
*
indicates
the
parameter
varies
based
on
the
modulation
type
selected.
Two
compression
algorithms
are
used
for
a
Segment
memory
usage
optimization.
The
algorithm
used
depends
on
the
linear
or
non
‐
linear
behavior
of
the
selected
function
(Type).
The
maximum
compression
factor
corresponds
to
equally
separated
samples
in
both
cases,
with
a
separation
time
equal
to
the
minimum
time
resolution
allowed.
Intermediate
compression
factors
can
be
set
by
controlling
the
amplitude
factor
(Decimation
Factor).
•
Decimation
Factor
‐
Physically
represents
a
percent
value
of
the
signal
maximum
amplitude
and
is
used
by
the
compression
algorithm
differently
depending
on
the
linear
or
nonlinear
behavior
of
the
function
selected
(Type).
•
Linear
Compression
‐
The
compression
algorithm
is
linear
for
a
signal
characterized
by
a
linear
time
variation
of
the
signal
amplitude
(Increase
Ramp,
Decrease
Ramp).
The
compressed
signal
samples
are
equally
spaced
and
the
separation
between
two
successive
samples
is
given
by
one
of
the
following
conditions
(the
strictest
one
applies):
•
The
maximum
time
separation
between
two
successive
samples
must
be
equal
to
the
minimum
resolution.
•
The
minimum
amplitude
gap
between
two
successive
samples
is
given
by
the
percent
of
the
maximum
signal
amplitude,
set
by
Decimation
Factor.
For
example,
a
signal
with
a
maximum
voltage
of
10V
and
a
Decimation
Factor
of
10%,
the
minimum
voltage
gap
is
1
V.
•
Non
‐
Linear
Compression
‐
The
compression
algorithm
for
non
‐
linear
functions
(Triangle,
Rectangle,
Sawtooth,
Sine
and
Cosine)
is
similar
to
the
previous
one,
but
the
compressed
signal
samples
are
equally
separated
only
if
the
Decimation
Factor
is
such
that
the
former
condition
is
satisfied.
By
using
a
suitable
Decimation
Factor
the
algorithm
allows
compressing
the
modulating
signal
using
a
cluster
of
samples
directly
proportional
to
the
amplitude
variation
in
the
time
unit.
Therefore,
the
compression
algorithm
for
non
‐
linear
signals
takes
into
account
the
relative
time
variation
of
the
signal
amplitude.
If
the
Decimation
Factor
is
very
small
with
respect
to
the
waveform
duration,
the
compression
algorithm
may
not
be
able
to
perform
the
signal
compression
by
using
the
maximum
number
of
available
samples.
In
such
cases
a
message
asks
the
user
to
increase
the
Decimation
Factor.
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