Title :
The Porosity of Additive Noise Channels
Author :
Misra, Vishal ; Weissman, Tsachy
Author_Institution :
Dept. of Electr. Eng., Stanford Univ., Stanford, CA, USA
Abstract :
Consider a binary modulo-additive noise channel with noiseless feedback. When the noise is a stationary and ergodic process Z, the capacity is 1- H(Z) (H(·) denoting the entropy rate). It is shown analogously that when the noise is a deterministic sequence z∞, the capacity under finite-state encoding and decoding is 1 - ρ̅(z∞), where ρ̅(·) is Lempel and Ziv´s finite-state compressibility. This quantity, termed the porosity σ(·) of the channel, holds as the fundamental limit to communication - even when the encoder is designed with knowledge of the noise sequence. A sequence of schemes are presented that universally achieve porosity for any noise sequence. These results, both converse and achievability, may be interpreted as a channel-coding counterpart to Ziv and Lempel´s work in universal source coding, and also as an extension to existing work on communicating across modulo-additive channels with an individual noise sequence. In addition, a potentially more practical architecture is suggested that draws a connection with finite-state predictability, as introduced by Feder, Gutman, and Merhav.
Keywords :
AWGN channels; channel coding; data compression; decoding; entropy codes; porosity; Feder; Gutman; Lempel finite-state compressibility; Merhav; Ziv finite-state compressibility; additive noise channels; binary modulo-additive noise channel; channel-coding; decoding; entropy rate; ergodic process; finite-state encoding; finite-state predictability; noise sequence; noiseless feedback; porosity; universal source coding; Channel coding; Decoding; Entropy; Noise; Probabilistic logic; Source coding; Lempel-Ziv; compressibility, predictability; modulo-additive channel; universal channel coding; universal source coding;
Journal_Title :
Information Theory, IEEE Transactions on
DOI :
10.1109/TIT.2014.2313578