Title :
A novel forward-backward predictor based low-power DSP system
Author :
Shim, Byonghyo ; Zhang, Ming ; Shanbhag, Naresh R.
Author_Institution :
Dept. of Electr. & Comput. Eng., Illinois Univ., Urbana, IL, USA
Abstract :
In this paper, we present an algorithmic noise tolerance (ANT) technique for low-power digital signal processing systems. The proposed technique employs a low-complexity forward-backward predictor to correct errors in a main DSP (MDSP) block due to voltage overscaling, which is an ultra low-voltage operating condition. For a frequency selective FIR filtering, it is shown that the proposed technique achieves up to 43% power savings over an optimally voltage scaled MDSP with a 5% area overhead.
Keywords :
FIR filters; digital signal processing chips; error correction; low-power electronics; algorithmic noise tolerance; digital signal processing systems; error correction; frequency selective FIR filtering; low-complexity forward-backward predictor; low-power DSP system; ultra low-voltage operating condition; voltage overscaling; Band pass filters; Computer errors; Digital signal processing; Error correction; Filtering; Finite impulse response filter; Frequency; Narrowband; Signal processing algorithms; Voltage;
Conference_Titel :
Signal Processing Systems, 2004. SIPS 2004. IEEE Workshop on
Print_ISBN :
0-7803-8504-7
DOI :
10.1109/SIPS.2004.1363072
