Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group

Graded-index lens array matched filtering

Not Accessible

Your library or personal account may give you access

Abstract

We demonstrate the use of graded-index lenses for matched spatial filtering. A matrix of matched filters is constructed, using a Selfoc lens array and Fourier-reflection holography. This combination of stacked planar optics and reflection holography provides a rugged, easily fabricated spatially distributed matched-filter system. Preliminary correlation results demonstrate the feasibility of this system.

© 1988 Optical Society of America

Full Article  |  PDF Article
More Like This
Matched filtering for efficient cleanup of strongly distorted beams

M. E. Marhic and A. Pan
Opt. Lett. 13(10) 817-819 (1988)

Power losses in optical-fiber graded-index-rod components

G. Conforti and M. Brenci
Opt. Lett. 13(1) 59-61 (1988)

Graded-index time-lens implementation

Francisco J. Marinho and Luis M. Bernardo
Opt. Lett. 31(11) 1723-1725 (2006)

Cited By

You do not have subscription access to this journal. Cited by links are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Figures (4)

You do not have subscription access to this journal. Figure files are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Equations (3)

You do not have subscription access to this journal. Equations are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Select as filters


Select Topics Cancel
© Copyright 2024 | Optica Publishing Group. All rights reserved, including rights for text and data mining and training of artificial technologies or similar technologies.