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Signal Recovery by Signal Averaging


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Formal Metadata

Title Signal Recovery by Signal Averaging
Alternative Title Signalextraktion durch Mittelwertbildung
Author Schlier, Christoph
Benz, Alois
License No Open Access License:
German copyright law applies. This film may be used for your own use but it may not be distributed via the internet or passed on to external parties.
DOI 10.3203/IWF/C-1285eng
IWF Signature C 1285
Publisher IWF (Göttingen)
Release Date 1978
Language English
Producer IWF
Production Year 1977

Technical Metadata

IWF Technical Data Film, 16 mm, LT, 35 m ; SW, 3 1/2 min

Content Metadata

Subject Area Physics
Abstract Signal recognition, noise amplitude, signal to noise ration, signal averager, noise supression.
Keywords signal averaging
noise supression
signal recovery
signal-to-noise ratio
signal recognition
Signal Recovery by Signal Averaging Modern measurement techniques cover many kinds of signals, for instance a voltage as the function of time. Often the record of the signal contains superimposed noise. Sometimes the signal is no longer discernible in the waveform. Retrieval of signals by
repetitive detection Signals can be retrieved from noise if they can be repeated relative to a known trigger signal. Electronic
equipment utilizing this procedure is known under the name of signal averager. One forms the
average of many repeated wave forms. This keeps the signal part constant, while the noise
part is reduced. More obvious for n = 100. After
a sufficient number of repetitions the signal can be retrieved with any prescribed accuracy. Here, it becomes visible as the line connecting the set of measured points. Plot in the
frequency domain The theory of the averaging effect is best
discussed in the frequency domain. Our signal consisted of three sine waves. As a function
of frequency the noise amplitude
is in general approximately a constant. Here, the signal amplitude is no more than 13. The averaging process reduces the noise amplitude. Eventually a signal to noise ratio of 13 has been reached. S/R as a function of N Plotting the signal to noise ratio as a function of the number N of repetitions results in a root function. Result: By N times repetition the signal to noise ratio increases proportional to the square root of N.
Computer animation
Signal (electrical engineering)
Tin can
Tape recorder
Schmitt trigger
Roll forming
Computer animation
Signal (electrical engineering)
Noise (electronics)
Computer animation
Signal (electrical engineering)
Noise (electronics)
Spare part
Audio frequency
Computer animation
Effects unit
Signal (electrical engineering)
Transmission line
Domäne <Kristallographie>
Audio frequency
Computer animation
Signal (electrical engineering)
Noise (electronics)
Domäne <Kristallographie>
Roots-type supercharger
Computer animation
Signal (electrical engineering)
Noise (electronics)
Gamma ray
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