DocumentCode
3590641
Title
Session 3 (Special session): Arithmetic for image and signal processing
Author
Menard, Daniel ; Caffarena, Gabriel
Author_Institution
INSA Rennes, France
fYear
2014
Firstpage
1
Lastpage
2
Abstract
Signal and Image and Processing (SIP) applications involve the execution of numerous mathematical operations. The aim of this session is to present recent advances in the domain of architecture and arithmetic for SIP applications. Applications in SIP domains are tolerant to overflows if their probability is small enough. In this context, determining the number of bits for the integer part of each fixed-point data is a trade-off between the implementation cost and the degradation of the application quality due to overflows.
Keywords
Acceleration; Computational modeling; Computer architecture; Context; Degradation; Matrix decomposition; Signal processing;
fLanguage
English
Publisher
ieee
Conference_Titel
Design and Architectures for Signal and Image Processing (DASIP), 2014 Conference on
Type
conf
DOI
10.1109/DASIP.2014.7115607
Filename
7115607
Link To Document