Split spectrum processing: a new filtering approach for improved signal-to-noise ratio enhancement of ultrasonic signals

Split spectrum processing is a frequency diversity technique used to enhance the signal-to-noise ratio of ultrasonic signals. Traditionally, many Gaussian bandpass filters are used to achieve frequency diversity. This paper introduces an alternative method of obtaining frequency diversity wherein ra...

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Veröffentlicht in:	Ultrasonics 1992, Vol.30 (6), p.351-357
Hauptverfasser:	Karpur, Prasanna, Canelones, Orlando J.
Format:	Artikel
Sprache:	eng
Schlagworte:	Acoustic signal processing Acoustics Exact sciences and technology filtering Fundamental areas of phenomenology (including applications) Physics SNR enhancement split spectrum
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creator	Karpur, Prasanna Canelones, Orlando J.
description	Split spectrum processing is a frequency diversity technique used to enhance the signal-to-noise ratio of ultrasonic signals. Traditionally, many Gaussian bandpass filters are used to achieve frequency diversity. This paper introduces an alternative method of obtaining frequency diversity wherein raised-cosine bandpass filters with flat-tops are recommended for use. The reasoning behind the use of raised-cosine filters is outlined. Experimental results are provided to demonstrate the advantages of the raised-cosine filters over Gaussian filters. Finally, the limitation of the new filters is experimentally shown.
doi_str_mv	10.1016/0041-624X(92)90090-9
format	Article
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subjects	Acoustic signal processing Acoustics Exact sciences and technology filtering Fundamental areas of phenomenology (including applications) Physics SNR enhancement split spectrum
title	Split spectrum processing: a new filtering approach for improved signal-to-noise ratio enhancement of ultrasonic signals
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