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

2009258 citationsJournal Article

Authors

Janusz S. Kulpa · Warsaw University of Technology

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

Topics & Keywords

Embedded Systems and FPGA Design Advancements in PLL and VCO Technologies Blind Source Separation Techniques

UN Sustainable Development Goals

Affordable and clean energy

Publication Details

Published in: Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE

Volume 7502, pp. 75021I-75021I

DOI: 10.1117/12.837990

Field-Weighted Citation Impact: 113.15