Battery-friendly design of signal processing algorithms

Author

Raghavan, Praveen ; Chakrabarti, Chaitali

Author_Institution

Dept. of Electr. Eng., Arizona State Univ., Tempe, AZ, USA

fYear

2003

fDate

27-29 Aug. 2003

Firstpage

304

Lastpage

309

Abstract

Portable systems today are designed with lowering the energy consumption as the primary design metric. This is unfortunate, since maximizing battery lifetime is a more appropriate metric, and lowering energy does not necessarily mean improving battery lifetime. We first show how to design battery-friendly implementations of common signal processing kernels such as FIR filters and FFT. The basic idea is to generate a load profile that results in better battery behavior. Next, we demonstrate how frequency scaling can be used effectively to improve the battery behavior of an application such as MPEG2.

Keywords

FIR filters; data compression; energy conservation; fast Fourier transforms; power consumption; signal processing; video coding; FFT; FIR filters; MPEG2; battery lifetime maximization; battery-friendly design; energy consumption; frequency scaling; load profile; portable systems; signal processing algorithms; video compression; Algorithm design and analysis; Batteries; Energy consumption; Finite impulse response filter; Frequency; Kernel; Process design; Signal design; Signal processing algorithms; Voltage;

fLanguage

English

Publisher

ieee

Conference_Titel

Signal Processing Systems, 2003. SIPS 2003. IEEE Workshop on

ISSN

1520-6130

Print_ISBN

0-7803-7795-8

Type

conf

DOI

10.1109/SIPS.2003.1235687

Filename

1235687