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Laura Pezza

dblp:00/10878 · DBLP profile ↗
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4ranked-venue papers
2as first author
0since 2021 · last 2016
0000-0003-0311-9202ORCID · corroborated

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

Theory of computation · 2 · 1 first-authorApplied, interdisciplinary, general and emerging computing · 2 · 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.

Theoretical computer science
2 papers
Coding theory · 100%

Topics — the 8 heaviest of 8, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Coding theory
constrained coding
0.212016
Efficient Non-Recursive Design of Second-Order Spectral-Null Codes · IEEE Trans. Inf. Theory 2016
Coding theory › constrained coding › spectral-null codes
second-order spectral-null codes
0.212016
Efficient Non-Recursive Design of Second-Order Spectral-Null Codes · IEEE Trans. Inf. Theory 2016
Coding theory › constrained coding
spectral-null codes
0.212016
Efficient Non-Recursive Design of Second-Order Spectral-Null Codes · IEEE Trans. Inf. Theory 2016
Coding theory › error-correcting codes
error detection
0.112012
Variable Length Unordered Codes · IEEE Trans. Inf. Theory 2012
Coding theory › source coding › universal coding
redundancy bounds
0.112012
Variable Length Unordered Codes · IEEE Trans. Inf. Theory 2012
Coding theory › error-correcting codes › nonlinear codes
unordered codes
0.112012
Variable Length Unordered Codes · IEEE Trans. Inf. Theory 2012
Coding theory › source coding
variable-length codes
0.112012
Variable Length Unordered Codes · IEEE Trans. Inf. Theory 2012
Coding theory › error-correcting codes › constant-weight codes
balanced codes
0.112016
Efficient Non-Recursive Design of Second-Order Spectral-Null Codes · IEEE Trans. Inf. Theory 2016

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

random walk method · 0.2parallel decoding · 0.2combinatorial analysis · 0.1
YearPublicationVenuePosition
2016 Efficient Non-Recursive Design of Second-Order Spectral-Null Codes
abstract
A new efficient design of second-order spectralnull (2-OSN) codes is presented. The new codes are obtained by applying the technique used to design parallel decoding balanced (i.e., 1-OSN) codes to the random walk method introduced by some of the authors for designing 2-OSN codes. This gives new non-recursive efficient code designs, which are less redundant than the code designs found in the literature. In particular, if k ∈ IIN is the length of a 1-OSN code then the new 2-OSN coding scheme has length n = k + r ∈ IIN with an extra redundancy of r ≃ 2 log2k + (1/2) log2log2k - 0.174 check bits, with k and r even and n multiple of 4. The whole coding process requires O(k log k) bit operations and O(k) bit memory elements.
Luca G. Tallini, Danilo Pelusi, Raffaele Mascella, Laura Pezza, Samir Elmougy, Bella Bose
IEEE Trans. Inf. Theory4
2013 On efficient second-order spectral-null codes using sets of m1-balancing functions
abstract
A new efficient coding scheme is given for second-order spectral-null (2-OSN) codes. The new method applies the Knuth's optimal parallel decoding scheme for balanced (i.e., 1-OSN) codes to the random walk method introduced by Tallini and Bose to design 2-OSN codes. If k ∈ IN is the length of a 1-OSN code then the new 2-OSN coding scheme has length n = k+r ∈ IN with an extra redundancy of r ≳ 2 log2k + (1/2) log2log2k - 0.674 check bits. The whole coding process requires O(n log n) bit operations and 0(n) bit memory elements.
Raffaele Mascella, Danilo Pelusi, Laura Pezza, Samir Elmougy, Luca G. Tallini, Bella Bose
ISIT3
2012 Variable Length Unordered Codes
abstract
In an unordered code, no code word is contained in any other code word. Unordered codes are all unidirectional error detecting (AUED) codes. In the binary case, it is well known that among all systematic codes withkinformation bits, Berger codes are optimal unordered codes withr=[log2(k+1)] ≅ log2kcheck bits. This paper gives some new theory on variable length unordered codes and introduces a new class of systematic (instantaneous) unordered codes with variable length check symbols. The average redundancy of the new codes presented here isr≅ (1/2)log2k+c, wherec∈ (1.0470,1.1332) ⊆IRandk∈INis the number of information bits. Whenkis large, it is shown that such redundancy is at most 0.6069 bits off the redundancy of an optimal systematic unordered code design with fixed length information symbols and variable length check symbols; and, at most 2.8075 bits off the redundancy of an optimal variable length unordered code design. The generalization is also given for the nonbinary case and it is shown that similar results hold true.
Laura Pezza, Luca G. Tallini, Bella Bose
IEEE Trans. Inf. Theory1
2009 On systematic variable length unordered codes
abstract
In an unordered code no codeword is contained in any other codeword. Unordered codes are all unidirectional error detecting (AUED) codes. In the binary case, it is well known that among all systematic codes with k information bits, Berger codes are optimal unordered codes with r = ¿log2(k+1)¿ check bits. This paper gives some new theory on variable length unordered codes and introduces a new class of systematic unordered codes with variable length check symbols. The average redundancy of these new codes is r ¿ (1/2) log2(¿ek/2) = (1/2) log2k + 1.047, where k¿IN is the number of information bits. It is also shown that such codes are optimal in the class of systematic unordered codes with fixed length information symbols and variable length check symbols. The generalization to the non-binary case is also given.
Laura Pezza, Luca G. Tallini, Bella Bose
ISIT1