The separation of 1/f noise of semi-conductor laser based on GPU parallel computing

Haipeng Chen; Shuxu Guo; Tian Zhang; Jian Sun

doi:10.1117/12.2061324

19 September 2014 The separation of 1/f noise of semi-conductor laser based on GPU parallel computing

Haipeng Chen, Shuxu Guo, Tian Zhang, Jian Sun

Proceedings Volume 9216, Optics and Photonics for Information Processing VIII; 92161T (2014) https://doi.org/10.1117/12.2061324
Event: SPIE Optical Engineering + Applications, 2014, San Diego, California, United States

Abstract

This paper presents a parallel algorithm designed for 1/f noise signal estimation based on Compressed sensing theory on the GPU platform. In the accelerating process, we select parts of the serial program as the object to be speeded up for the execution time of algorithm. Compared with the conventional methods for 1/f noise estimation, our scheme has shown a 20x speedup.

Citation Download Citation

Haipeng Chen, Shuxu Guo, Tian Zhang, and Jian Sun "The separation of 1/f noise of semi-conductor laser based on GPU parallel computing", Proc. SPIE 9216, Optics and Photonics for Information Processing VIII, 92161T (19 September 2014); https://doi.org/10.1117/12.2061324

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