DocumentCode :
1530218
Title :
Signal coding for low power: fundamental limits and practical realizations
Author :
Ramprasad, Sumant ; Shanbhag, Naresh R. ; Hajj, Ibrahim N.
Author_Institution :
Coordinated Sci. Lab., Illinois Univ., Urbana, IL, USA
Volume :
46
Issue :
7
fYear :
1999
fDate :
7/1/1999 12:00:00 AM
Firstpage :
923
Lastpage :
929
Abstract :
Transitions on high capacitance buses result in considerable system power dissipation. Therefore, various coding schemes have been proposed in the literature to encode the input signal in order to reduce the number of transitions. In this paper, we present: 1) fundamental bounds on the activity-reduction capability of any encoding scheme for a given source and 2) practical novel encoding schemes that approach these bounds. The fundamental bounds in 1) are obtained via an information theoretic approach, where a signal x(n) with entropy rate ℋ is coded with R bits per sample on average. The encoding schemes in 2) are developed via a communication-theoretic approach, whereby a data source is passed through a decorrelating function followed by a variant of entropy coding function which reduces the transition activity. Simulation results with an encoding scheme for data busses indicate an average reduction in transition activity of 36%
Keywords :
CMOS integrated circuits; VLSI; decorrelation; entropy codes; integrated circuit design; low-power electronics; activity-reduction capability; decorrelating function; entropy coding function; entropy rate; high capacitance buses; information theoretic approach; low-power signals; signal coding; system power dissipation; transition activity; Capacitance; Circuit simulation; Decorrelation; Encoding; Entropy coding; Information theory; Power dissipation; Switching circuits; Very large scale integration; Voltage;
fLanguage :
English
Journal_Title :
Circuits and Systems II: Analog and Digital Signal Processing, IEEE Transactions on
Publisher :
ieee
ISSN :
1057-7130
Type :
jour
DOI :
10.1109/82.775388
Filename :
775388
Link To Document :
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