New technique for the prediction and correction of nonlinearities in simulated optical readout waveforms

Paul W. Nutter; Christopher David Wright

doi:10.1117/12.453389

10 January 2002 New technique for the prediction and correction of nonlinearities in simulated optical readout waveforms

Paul W. Nutter, Christopher David Wright

Author Affiliations +

Proceedings Volume 4342, Optical Data Storage 2001; (2002) https://doi.org/10.1117/12.453389
Event: Optical Data Storage, 2001, Santa Fe, NM, United States

Abstract

Linear superposition techniques are often used to simulate waveforms in a variety of applications. In particular, superposition techniques have been used extensively to quickly and efficiently analyze readout waveforms from optical storage media. However, as storage densities increase the optical readout process exhibits nonlinear characteristics that are not reproduced using linear superposition techniques. Alternative approaches, based on curve fitting and optimization routines, are often used to predict more accurately the readout waveform. This paper describes a novel technique for accurately simulating readout waveforms from high-density optical storage media, based on the superposition of isolated pulse responses and nonlinear signal components that arise due to inter-symbol-interference in the readout waveform.

Citation Download Citation

Paul W. Nutter and Christopher David Wright "New technique for the prediction and correction of nonlinearities in simulated optical readout waveforms", Proc. SPIE 4342, Optical Data Storage 2001, (10 January 2002); https://doi.org/10.1117/12.453389

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available