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

Resolvable degrees of freedom in observation of a coherent object

Not Accessible

Your library or personal account may give you access

Abstract

The Shannon number is shown to specify the number of degrees of freedom that can be resolved in a coherent object scrutinized by a distant optical instrument that extracts information about the object from the light passing through its aperture. The quantum-mechanical nature of the light is taken into account, and the problem of determining the object amplitude distribution is treated by means of quantum estimation theory, which defines a limitation on the accuracy of an estimate of the object distribution that cannot be surpassed by any means of processing the received light. Fundamentally, the limitation arises from the inability of more than a finite number of modes of excitation of the object to deposit a significant number of photons in the aperture.

© 1977 Optical Society of America

Full Article  |  PDF Article
More Like This
A priori information and the degrees of freedom of noisy images

Bahaa Saleh
J. Opt. Soc. Am. 67(1) 71-76 (1977)

Resolvability of Objects from the Standpoint of Statistical Parameter Estimation*

Carl W. Helstrom
J. Opt. Soc. Am. 60(5) 659-666 (1970)

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

Equations (63)

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.