Title :
Signal propagation, with application to a lower bound on the depth of noisy formulas
Author :
Evans, William ; Schulman, Leonard J.
Author_Institution :
Dept. of Comput. Sci., California Univ., Berkeley, CA, USA
Abstract :
We study the decay of an information signal propagating through a series of noisy channels. We obtain exact bounds on such decay, and as a result provide a new lower bound on the depth of formulas with noisy components. This improves upon previous work of N. Pippenger (1988) and significantly decreases the gap between his lower bound and the classical upper bound of von Neumann. We also discuss connections between our work and the study of mixing rates of Markov chains
Keywords :
Markov processes; information theory; signal processing; Markov chains; decay; exact bounds; information signal; lower bound; noisy formulas depth; signal propagation; upper bound; Acoustic noise; Acoustic propagation; Application software; Circuit noise; Codes; Computer science; Random variables; Signal to noise ratio; Upper bound; Wire;
Conference_Titel :
Foundations of Computer Science, 1993. Proceedings., 34th Annual Symposium on
Conference_Location :
Palo Alto, CA
Print_ISBN :
0-8186-4370-6
DOI :
10.1109/SFCS.1993.366827