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Robert Mario Fano

dblp:90/7419 · also Robert M. Fano · DBLP profile ↗
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3ranked-venue papers
3as first author
0since 2021 · last 1999
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Computer networks · 1 · 1 first-authorTheory of computation · 1 · 1 first-authorApplied, interdisciplinary, general and emerging computing · 1 · 1 first-author

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Interdisciplinary, comprehensive, and emerging computing
1 paper
Computational social science and digital humanities · 100%
Computer networks
1 paper
Physical-layer communications · 77% Cellular and mobile networks · 23%

Topics — the 5 heaviest of 5, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Computational social science and digital humanities › science and technology studies
technology and society
0.011999
On the social role of computer communications · Proc. IEEE 1999
Physical-layer communications › channel modeling
impulsive noise
0.011977
A Theory of Impulse Noise in Telephone Networks · IEEE Trans. Commun. 1977
Cellular and mobile networks
telephone network
0.011977
A Theory of Impulse Noise in Telephone Networks · IEEE Trans. Commun. 1977
Coding theory › error-correcting codes › decoding
sequential decoding
0.011963
A heuristic discussion of probabilistic decoding · IEEE Trans. Inf. Theory 1963
Coding theory › error-correcting codes › decoding › decoding algorithms
probabilistic decoding
0.011963
A heuristic discussion of probabilistic decoding · IEEE Trans. Inf. Theory 1963

Methods — techniques the papers use, named apart from their topics

random walk model · 0.0
YearPublicationVenuePosition
1999 On the social role of computer communications
Robert Mario Fano
Proc. IEEE1
1977 A Theory of Impulse Noise in Telephone Networks
abstract
This paper presents a physical theory of impulse noise in telephone networks based on the assumption that impulsive disturbances can reverberate through a network for very long periods of time. A mechanism of regeneration and propagation of disturbances through signaling circuits is proposed, and the resulting reverberation is modeled as a random walk in one dimension. Theoretical results agree surprisingly well with empirical probability distributions of inter-error intervals in data transmission. However, direct experimental evidence is lacking to substantiate (or disprove) the physical mechanism on which the theory is based.
Robert Mario Fano
IEEE Trans. Commun.1
1963 A heuristic discussion of probabilistic decoding
abstract
This is another in a series of invited tutorial, status and survey papers that are being regularly solicited by the PTGIT Committee on Special Papers. We invited Profess01 Fano to commit to paprr his elegant but, unelaborate explanation of the principles of sequential decoding, a scheme which is currently contending for a position as the most practical implementation to dale of Shannon’s theory of noisy communication channels. -&e&l Pcqwrs Committw.
Robert Mario Fano
IEEE Trans. Inf. Theory1