Title :
Session 3 (Special session): Arithmetic for image and signal processing
Author :
Menard, Daniel ; Caffarena, Gabriel
Author_Institution :
INSA Rennes, France
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;
Conference_Titel :
Design and Architectures for Signal and Image Processing (DASIP), 2014 Conference on
DOI :
10.1109/DASIP.2014.7115607