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Transformations in optics for radio-...

Colice, Christopher Max.

Transformations in optics for radio-frequency spectrum analysis.

紀錄類型:	書目-電子資源 : 單行本
正題名/作者:	Transformations in optics for radio-frequency spectrum analysis./
作者:	Colice, Christopher Max.
面頁冊數:	250 p.
附註:	Source: Dissertation Abstracts International, Volume: 68-03, Section: B, page: 1816.
Contained By:	Dissertation Abstracts International68-03B.
標題:	Engineering, Electronics and Electrical. -
電子資源:	Download PDF (下載PDF全文)

Transformations in optics for radio-frequency spectrum analysis.
Colice, Christopher Max.

Transformations in optics for radio-frequency spectrum analysis. - 250 p.

Source: Dissertation Abstracts International, Volume: 68-03, Section: B, page: 1816.

Thesis (Ph.D.)--University of Colorado at Boulder, 2007.

Why use optics for radio-frequency spectrum analysis, especially when electronic spectrum analyzers are so good? There are several reasons: optical processing is inherently parallel; coherent light Fourier transforms as it propagates; and the processing speed is usually determined by the time it takes light to propagate through the system. Of course, there are disadvantages to optical processing, namely the difficulty in generating long time delays using optics and the (relatively) small dynamic range of optical detectors. Optical systems are good for analyzing pulsed or hopping signals, and electronic systems for weak continuous-wave signals.Subjects--Topical Terms:

170927
Engineering, Electronics and Electrical.

Transformations in optics for radio-frequency spectrum analysis.
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100 1 $a Colice, Christopher Max. $3 1000006188
245 1 0 $a Transformations in optics for radio-frequency spectrum analysis.
300 $a 250 p.
500 $a Source: Dissertation Abstracts International, Volume: 68-03, Section: B, page: 1816.
500 $a Adviser: Kelvin H. Wagner.
502 $a Thesis (Ph.D.)--University of Colorado at Boulder, 2007.
520 $a Why use optics for radio-frequency spectrum analysis, especially when electronic spectrum analyzers are so good? There are several reasons: optical processing is inherently parallel; coherent light Fourier transforms as it propagates; and the processing speed is usually determined by the time it takes light to propagate through the system. Of course, there are disadvantages to optical processing, namely the difficulty in generating long time delays using optics and the (relatively) small dynamic range of optical detectors. Optical systems are good for analyzing pulsed or hopping signals, and electronic systems for weak continuous-wave signals.
520 $a Traditionally, optical processors use spatial parallelism to monitor many channels simultaneously. Exploiting this parallelism requires converting time-domain signals into spatial modulation. Coordinate transformations, then, make domain transformations possible. The systems based on tapped delay lines described in Chapters 1 and 2 all use spatial coordinate transformations for spectrum analysis, while the spectral-hole-burning spectrum analyzers discussed in Chapters 3 and 4 use spectral parallelism for spectrum analysis. Spectrum analyzers that use more than one dimension, such as the spatial-spectral processor in Chapter 5, could potentially operate with time-bandwidth products of up to 108, something far beyond the reach of electronic spectrum analyzers for the foreseeable future.
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650 4 $a Physics, Optics. $3 1000005523
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792 $a 2007
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