Highly accurate spectral estimates on noisy multitone signals can be performed by digital spectral analyzers, realized, today, through a dedicated hardware architecture or, otherwise, by means of object-oriented software-modules. The accuracy characterization of the PSD estimation algorithm has been made possible deriving the expression of the rms error which occurs after averaging estimates of overlapped periodograms, smoothed with flat-top windows. The global noise of the A/D conversion has been evaluated and accounted for through effective bits, which are suitable to give the accuracy of estimate. A proper modelling of the A/D conversion block, on the counterpart, leads to define the figure of merit or effective information, more suitable to characterize the A/D block in terms of information rate.

Information source model of A/D converters to characterize digital spectral analyzers based on averaged smoothed periodograms

ATTIVISSIMO, Filippo;GIAQUINTO, Nicola;SAVINO, Mario;TROTTA, Amerigo
1994

Abstract

Highly accurate spectral estimates on noisy multitone signals can be performed by digital spectral analyzers, realized, today, through a dedicated hardware architecture or, otherwise, by means of object-oriented software-modules. The accuracy characterization of the PSD estimation algorithm has been made possible deriving the expression of the rms error which occurs after averaging estimates of overlapped periodograms, smoothed with flat-top windows. The global noise of the A/D conversion has been evaluated and accounted for through effective bits, which are suitable to give the accuracy of estimate. A proper modelling of the A/D conversion block, on the counterpart, leads to define the figure of merit or effective information, more suitable to characterize the A/D block in terms of information rate.
Instrumentation and Measurement Technology Conference, 1994. IMTC/94.
0-7803-1880-3
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11589/16478
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