Title :
Modeling the power consumption of audio signal processing computations using customized numerical representations
Author :
Chamberlain, Roger ; Hemmeter, Eric ; Morley, Robert ; White, Jason
Author_Institution :
Sch. of Eng. & Appl. Sci., Washington Univ., St. Louis, MO, USA
fDate :
30 March-2 April 2003
Abstract :
This paper explores the impact that numerical representation has on the power consumption of audio signal processing applications. The motivation is digital hearing aids, for which minimizing the power consumption is a critical design goal. We investigate two aspects of this problem. First, we evaluate the validity of using signal transition counts to model actual power consumption within this problem domain, and second, we compare the relative power consumption of multiply-accumulate operations for several customized numerical representations.
Keywords :
audio signal processing; hearing aids; numerical analysis; power consumption; audio signal processing computations; customized numerical representations; digital hearing aids; multiply-accumulate operations; power consumption modelling; signal transition counts; Batteries; Circuit simulation; Energy consumption; Hearing aids; Integrated circuit synthesis; Power engineering and energy; Power engineering computing; Power system modeling; Signal processing; Very large scale integration;
Conference_Titel :
Simulation Symposium, 2003. 36th Annual
Print_ISBN :
0-7695-1911-3
DOI :
10.1109/SIMSYM.2003.1192820