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If a signal
has a peak or RMS amplitude
(in some fixed window), then the scaled
signal
(where
)
has amplitude
. The RMS power of the scaled signal
changes by a factor of
. The situation gets more
complicated when two different signals are added together; just
knowing the amplitudes of the two does not suffice to know the
amplitude of the sum. The two amplitude measures do at least obey
triangle inequalities; for any two signals
and
,
If we fix a window from
to
as
usual, we can write out the mean power of the sum of two signals:
MEAN POWER OF THE SUM OF TWO SIGNALS
where we have introduced the correlation of two signals:
CORRELATION
The correlation may be positive, zero, or negative. Over a
sufficiently large window, the correlation of two sinusoids with
different frequencies is negligible. In general, for two
uncorrelated signals, the power of the sum is the sum of the
powers:
POWER RULE FOR UNCORRELATED SIGNALS
Put in terms of amplitude, this becomes:
This is the familiar Pythagorean relation. So uncorrelated signals
can be thought of as vectors at right angles to each other;
positively correlated ones as having an acute angle between them,
and negatively correlated as having an obtuse angle between them.
For example, if we have two uncorrelated signals both with RMS
amplitude
, the sum will have RMS amplitude
. On the other hand if the two
signals happen to be equal--the most correlated possible--the sum
will have amplitude
, which is the maximum
allowed by the triangle inequality.

Next: Units of
Amplitude Up: Acoustics of digital audio Previous:
Measures of Amplitude
Contents
Index
msp 2003-05-06