Time-frequency analysis using NVIDIA compute unified device architecture (CUDA)

J. Kulpa

doi:10.1117/12.837990

5 August 2009 Time-frequency analysis using NVIDIA compute unified device architecture (CUDA)

J. Kulpa

Proceedings Volume 7502, Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2009; 75021I (2009) https://doi.org/10.1117/12.837990
Event: Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2009, 2009, Wilga, Poland

Abstract

The Digital Signal Processing (DSP) requires high computing power. Von Neuman architecture reaches it's limits. To meet the high requirement of DSP algorithms the parallel processing techniques are being used. The paper presents an example of DSP application on NVIDIA graphic card using CUDA environment. The presented result shows the high effectiveness of multi-core graphical card in Digital Signal Processing. The processing time of the example spectrogram is reduced 10 times compared to Central Processing Unit (CPU) of the standard PC

Citation Download Citation

J. Kulpa "Time-frequency analysis using NVIDIA compute unified device architecture (CUDA)", Proc. SPIE 7502, Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2009, 75021I (5 August 2009); https://doi.org/10.1117/12.837990

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