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 language | English (US) |
|---|---|
| Pages (from-to) | 1-6 |
| Number of pages | 6 |
| Journal | Acoustic Research Letters Online |
| Volume | 1 |
| DOIs | |
| State | Published - Aug 25 2000 |
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All Science Journal Classification (ASJC) codes
- Physics and Astronomy(all)
Cite this
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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 journal › Article
TY - JOUR
T1 - Wavelet processing for wideband scattering function estimation
AU - Weiss, Lora G.
PY - 2000/8/25
Y1 - 2000/8/25
N2 - 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.
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.
UR - http://www.scopus.com/inward/record.url?scp=3242707651&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=3242707651&partnerID=8YFLogxK
U2 - 10.1121/1.1314679
DO - 10.1121/1.1314679
M3 - Article
AN - SCOPUS:3242707651
VL - 1
SP - 1
EP - 6
JO - Acoustic Research Letters Online
JF - Acoustic Research Letters Online
SN - 1529-7853
ER -