Wavelet processing for wideband scattering function estimation

Research output: Contribution to journalArticle

Abstract

Signal processing of acoustic signals scattered from distributed objects and in time-varying environments has become an increasing challenge. A major difficulty is to estimate or characterize the distributed scattering phenomena. Often, a spreading function or a scattering function are used to characterize the spreading that results when the signal is scattered. This article shows how wavelet processing can be used to more accurately characterize signal spreading when the transmit waveform has a large bandwidth. This wavelet processing is then used to estimate the wideband scattering function associated with scattering from distributed objects or within complex time-varying channels.

Original languageEnglish (US)
Pages (from-to)1-6
Number of pages6
JournalAcoustic Research Letters Online
Volume1
DOIs
StatePublished - Aug 25 2000

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scattering functions
broadband
estimates
scattering
signal processing
waveforms
bandwidth
acoustics

All Science Journal Classification (ASJC) codes

  • Physics and Astronomy(all)

Cite this

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abstract = "Signal processing of acoustic signals scattered from distributed objects and in time-varying environments has become an increasing challenge. A major difficulty is to estimate or characterize the distributed scattering phenomena. Often, a spreading function or a scattering function are used to characterize the spreading that results when the signal is scattered. This article shows how wavelet processing can be used to more accurately characterize signal spreading when the transmit waveform has a large bandwidth. This wavelet processing is then used to estimate the wideband scattering function associated with scattering from distributed objects or within complex time-varying channels.",
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Wavelet processing for wideband scattering function estimation. / Weiss, Lora G.

In: Acoustic Research Letters Online, Vol. 1, 25.08.2000, p. 1-6.

Research output: Contribution to journalArticle

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AB - Signal processing of acoustic signals scattered from distributed objects and in time-varying environments has become an increasing challenge. A major difficulty is to estimate or characterize the distributed scattering phenomena. Often, a spreading function or a scattering function are used to characterize the spreading that results when the signal is scattered. This article shows how wavelet processing can be used to more accurately characterize signal spreading when the transmit waveform has a large bandwidth. This wavelet processing is then used to estimate the wideband scattering function associated with scattering from distributed objects or within complex time-varying channels.

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