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Nonlinear optical processing and its...

Sadovnik, Lev.

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Nonlinear optical processing and its application to invariant pattern recognition.

Record Type:	Electronic resources : Monograph/item
Title/Author:	Nonlinear optical processing and its application to invariant pattern recognition./
Author:	Sadovnik, Lev.
Description:	182 p.
Notes:	Source: Dissertation Abstracts International, Volume: 57-04, Section: B, page: 2770.
Contained By:	Dissertation Abstracts International57-04B.
Subject:	Engineering, Electronics and Electrical. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=9625271

Nonlinear optical processing and its application to invariant pattern recognition.
Sadovnik, Lev.

Nonlinear optical processing and its application to invariant pattern recognition. - 182 p.

Source: Dissertation Abstracts International, Volume: 57-04, Section: B, page: 2770.

Thesis (Ph.D.)--University of Southern California, 1995.

Coherent optical information processing systems have the ability to process large bandwidth data in parallel at high speed. Unfortunately, their range of operations has been restricted to linear operations, or fixed nonlinear operations achieved using an intermediate pulse width modulation (halftone) step.Subjects--Topical Terms:

626636
Engineering, Electronics and Electrical.

Nonlinear optical processing and its application to invariant pattern recognition.
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008 130614s1995 eng d
035 $a (UnM)AAI9625271
035 $a AAI9625271
040 $a UnM $c UnM
100 1 $a Sadovnik, Lev. $3 1929770
245 1 0 $a Nonlinear optical processing and its application to invariant pattern recognition.
300 $a 182 p.
500 $a Source: Dissertation Abstracts International, Volume: 57-04, Section: B, page: 2770.
500 $a Adviser: Alexander A. Sawchuk.
502 $a Thesis (Ph.D.)--University of Southern California, 1995.
520 $a Coherent optical information processing systems have the ability to process large bandwidth data in parallel at high speed. Unfortunately, their range of operations has been restricted to linear operations, or fixed nonlinear operations achieved using an intermediate pulse width modulation (halftone) step.
520 $a This research encompasses three issues related to nonlinear optical processing. The first one is the problem of dynamically variable nonlinear optical processing. Flexible dynamically variable nonlinear processing is accomplished by utilizing a halftoned input formed in a projection geometry. The transfer characteristic of the halftone process which governs the nonlinearity is determined by considering the diffraction pattern produced by a periodic structure, i.e., a crossline grating phase halftone screen. The diffraction phenomenon is discussed in terms of output intensities, and the effect of the finite size of the periodic structure is analyzed. Derivations of the specific diffraction patterns are performed using a Fresnel approximation whose validity for the halftone process is confirmed.
520 $a Based on the diffraction pattern calculations, the inverse problem of dynamically variable halftoning is solved, i.e., the halftone process which will produce the desired nonlinear transformation is determined (in terms of its geometry and the transmission of the apodizing mask). Numerical solutions for the design of the two different nonlinear characteristics are presented.
520 $a The next advance toward achieving flexible, high input dynamic range nonlinear optical processing is made by introducing a new type of input image representation--intensity-to-phase coding. Experimental results of a nonmonotonic nonlinear optical transformation achieved with a simple sinusoidal grating are demonstrated and the application of this coding to the instantaneous measurement of the characteristic curve of photosensitive phase-only materials is described.
520 $a This novel type of optical encoding leads directly the design of a new optical processor capable of scale, translation, and rotation invariant automatic pattern recognition. Both the numerical simulations and the experimental results prove that this technique can provide invariant object identification.
590 $a School code: 0208.
650 4 $a Engineering, Electronics and Electrical. $3 626636
690 $a 0544
710 2 0 $a University of Southern California. $3 700129
773 0 $t Dissertation Abstracts International $g 57-04B.
790 1 0 $a Sawchuk, Alexander A., $e advisor
790 $a 0208
791 $a Ph.D.
792 $a 1995
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=9625271