Title :
Battery-friendly design of signal processing algorithms
Author :
Raghavan, Praveen ; Chakrabarti, Chaitali
Author_Institution :
Dept. of Electr. Eng., Arizona State Univ., Tempe, AZ, USA
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;
Conference_Titel :
Signal Processing Systems, 2003. SIPS 2003. IEEE Workshop on
Print_ISBN :
0-7803-7795-8
DOI :
10.1109/SIPS.2003.1235687
