Wideband, nearfield processing of spatially distributed sources using multiple wavelet transforms

Lora G. Weiss

doi:10.1109/DSPWS.1992.665526

Wideband, nearfield processing of spatially distributed sources using multiple wavelet transforms

Lora G. Weiss

Graduate Program in Acoustics

Research output: Contribution to conference › Paper › peer-review

Abstract

Beamforming is not valid for nearfield sensor array processing or for wideband signal processing. Instead, a wideband spatial processor is required. This paper describes a new, wideband spatial processor for an array of spatially separated sensors used to image an environment containing spatially distributed sources. The processor is formulated with wavelet transforms and is shown to be effective in processing wideband signals. Significant improvements in resolution and gain result as sensors are added to the array.

Original language	English (US)
Pages	1.16.1-1.16.2
DOIs	https://doi.org/10.1109/DSPWS.1992.665526
State	Published - Jan 1 1992
Event	1992 Digital Signal Processing Workshop, DSPWS 1992 - Utica, United States Duration: Sep 13 1992 → Sep 16 1992

Conference

Conference	1992 Digital Signal Processing Workshop, DSPWS 1992
Country/Territory	United States
City	Utica
Period	9/13/92 → 9/16/92

All Science Journal Classification (ASJC) codes

Signal Processing

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10.1109/DSPWS.1992.665526

Cite this

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abstract = "Beamforming is not valid for nearfield sensor array processing or for wideband signal processing. Instead, a wideband spatial processor is required. This paper describes a new, wideband spatial processor for an array of spatially separated sensors used to image an environment containing spatially distributed sources. The processor is formulated with wavelet transforms and is shown to be effective in processing wideband signals. Significant improvements in resolution and gain result as sensors are added to the array.",

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AB - Beamforming is not valid for nearfield sensor array processing or for wideband signal processing. Instead, a wideband spatial processor is required. This paper describes a new, wideband spatial processor for an array of spatially separated sensors used to image an environment containing spatially distributed sources. The processor is formulated with wavelet transforms and is shown to be effective in processing wideband signals. Significant improvements in resolution and gain result as sensors are added to the array.

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ER -

Wideband, nearfield processing of spatially distributed sources using multiple wavelet transforms

Abstract

Conference

All Science Journal Classification (ASJC) codes

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