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Yoav Hebron

dblp:22/5584 · DBLP profile ↗
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2ranked-venue papers
0as first author
0since 2021 · last 2013
—ORCID · none

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

Computer networks · 1Applied, interdisciplinary, general and emerging computing · 1

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.

Computer networks
1 paper
Internet of things and sensor networks · 77% Content delivery and video streaming · 23%
Theoretical computer science
1 paper
Coding theory · 100%

Topics — the 4 heaviest of 6, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Internet of things and sensor networks
home network
0.212013
The Multimedia Over Coax Alliance · Proc. IEEE 2013
Coding theory › error-correcting codes › decoding › soft-decision decoding
APP decoding
0.011993
On the Application of Approximate APP Decoding to Digital Video Transmission · IEEE J. Sel. Areas Commun. 1993
Coding theory › error-correcting codes
block codes
0.011993
On the Application of Approximate APP Decoding to Digital Video Transmission · IEEE J. Sel. Areas Commun. 1993
Coding theory › error-correcting codes › decoding
soft-decision decoding
0.011993
On the Application of Approximate APP Decoding to Digital Video Transmission · IEEE J. Sel. Areas Commun. 1993

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

standard specification overview · 0.2weight function approximation · 0.0feedback decoding · 0.0
YearPublicationVenuePosition
2013 The Multimedia Over Coax Alliance
abstract
The Multimedia over Coax Alliance (MoCA) publishes a home networking specification that is the deployed standard for the majority of service providers in North America. It is also being adopted in other parts of the world. MoCA enables highly robust, secure, and low-latency communication at net throughputs of over 400 Mb/s on the home coaxial cable. Its primary use is for the distribution of premium content video, including applications such as multiroom DVR. This paper presents a historical, market, and technical overview of MoCA.
Anton Monk, Ronald Lee, Yoav Hebron
Proc. IEEE3
1993 On the Application of Approximate APP Decoding to Digital Video Transmission
abstract
For transmitting compressed digital video, the authors propose using threshold decodable block codes with large block length, and a posteriori probability (APP) soft decision decoding. A new approximation of the weight function associated with APP soft decision decoding of threshold decodable codes is presented. When the number of components in the parity equations is large, the new method gives excellent error performance, whereas there is a substantial degradation in the performance of the least reliable symbol approximation presented by Tanaka et al. (1980) and others. The effect of feedback on the performance of the APP decoder is also analyzed. It is shown that if the performance criterion is word error rate rather than bit error rate, feedback of previously decoded bits is essential to obtain all possible coding gain from the soft decision decoder. Finally, the performance of the proposed coding scheme is compared to the performance of a concatenated coding system with the same rate.>
Sreenivasa A. Raghavan, Yoav Hebron, Itzhak Gurantz
IEEE J. Sel. Areas Commun.2