Title :
Low-power digital signal processing via dynamic algorithm transformations (DAT)
Author :
Goel, Manish ; Shanbhag, Naresh R.
Author_Institution :
Coordinated Sci. Lab., Illinois Univ., Urbana, IL, USA
Abstract :
We have proposed dynamic algorithm transformations (DAT) for low power VLSI signal processing. The principle behind DAT is that the conventional signal processing system designed for the worst-case is not optimum (from energy viewpoint) for the nominal and the best cases. Therefore, significant energy savings can be achieved by optimally reconfiguring the hardware in these situations. The reconfiguration strategies are derived by solving an optimization problem with energy as the objective function, and a constraint on the SNR. In this paper, we present reconfiguration strategies for a system comprising of multiple adaptive filters. An example is 155.52 Mb/s ATM-LAN transceiver, where two adaptive filters-namely near-end crosstalk canceller and fractionally spaced equalizer are employed. The input variabilities for this example are due to the different cable lengths at various locations. Simulation results indicate that energy savings range from 0%-85% for cable lengths ranging from 110 m to 40 m. On an average 69% energy savings are achieved.
Keywords :
VLSI; adaptive equalisers; adaptive filters; asynchronous transfer mode; circuit optimisation; crosstalk; digital signal processing chips; local area networks; transceivers; 155.52 Mbit/s; 40 to 110 m; ATM-LAN transceiver; SNR; cable lengths; dynamic algorithm transformations; energy savings; fractionally spaced equalizer; low power VLSI DSP; low-power digital signal processing; multiple adaptive filters; near-end crosstalk canceller; objective function; optimization problem solution; reconfiguration strategies; simulation results; Adaptive filters; Constraint optimization; Digital signal processing; Hardware; Heuristic algorithms; Process design; Signal design; Signal processing algorithms; Transceivers; Very large scale integration;
Conference_Titel :
Signals, Systems & Computers, 1998. Conference Record of the Thirty-Second Asilomar Conference on
Conference_Location :
Pacific Grove, CA, USA
Print_ISBN :
0-7803-5148-7
DOI :
10.1109/ACSSC.1998.751517