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Alexander V. Kuznetsov 0002

dblp:78/4834-2 · DBLP profile ↗
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3ranked-venue papers
3as first author
0since 2021 · last 1996
—ORCID · none

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

Theory of computation · 3 · 3 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
3 papers
Coding theory · 51% Information theory · 49%

Topics — the 12 heaviest of 13, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Information theory › communication channels › channel models
channels with memory
0.011996
On the undetected error probability of linear block codes on channels with memory · IEEE Trans. Inf. Theory 1996
Coding theory › error-correcting codes
error detection
0.011996
On the undetected error probability of linear block codes on channels with memory · IEEE Trans. Inf. Theory 1996
Information theory › channel capacity › state-dependent channel › finite-state channel
gilbert-elliott channel
0.011996
On the undetected error probability of linear block codes on channels with memory · IEEE Trans. Inf. Theory 1996
Coding theory › error-correcting codes › block codes
linear block codes
0.011996
On the undetected error probability of linear block codes on channels with memory · IEEE Trans. Inf. Theory 1996
Information theory › communication channels › channel models › channels with memory
markov channels
0.011996
On the undetected error probability of linear block codes on channels with memory · IEEE Trans. Inf. Theory 1996
Coding theory › error-correcting codes › error detection
undetected error probability
0.011996
On the undetected error probability of linear block codes on channels with memory · IEEE Trans. Inf. Theory 1996
Information theory
channel capacity
0.011994
On the general defective channel with informed encoder and capacities of some constrained memories · IEEE Trans. Inf. Theory 1994
Information theory › communication channels
channel models
0.011994
On the general defective channel with informed encoder and capacities of some constrained memories · IEEE Trans. Inf. Theory 1994
Coding theory › error-correcting codes
block codes
0.011993
A coding scheme for single peak-shift correction in (d, k)-constrained channels · IEEE Trans. Inf. Theory 1993
Coding theory
constrained coding
0.011993
A coding scheme for single peak-shift correction in (d, k)-constrained channels · IEEE Trans. Inf. Theory 1993
Coding theory › error-correcting codes › storage coding
write-once memory
0.011994
On the general defective channel with informed encoder and capacities of some constrained memories · IEEE Trans. Inf. Theory 1994
Coding theory › constrained coding
runlength-limited codes
0.011993
A coding scheme for single peak-shift correction in (d, k)-constrained channels · IEEE Trans. Inf. Theory 1993

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

trellis representation · 0.0recursive computation · 0.0capacity bounds · 0.0enumeration-free encoding · 0.0block code construction · 0.0
YearPublicationVenuePosition
1996 On the undetected error probability of linear block codes on channels with memory
abstract
We derive an upper bound on the undetected error probability of binary (n, k) block codes used on channels with memory described by Markov distributions. This bound is a generalization of the bound presented by Kasami et al. (1984) for the binary symmetric channel, and is given as an average value of some function of the composition of the state sequence of the channel. It can be extended in particular cases of Markov-type channels. As an example, such an extended bound is given for the Gilbert-Elliott (1960, 1963) channel and Markov channels with deterministic errors determined by the state. We develop a recursive technique for the exact calculation of the undetected error probability of an arbitrary linear block code used on a Markov-type channel. This technique is based on the trellis representation of block codes described by Wolf (1978). Results of some computations are presented.
Alexander V. Kuznetsov 0002, Francis Swarts, A. J. Han Vinck, Hendrik C. Ferreira
IEEE Trans. Inf. Theory1
1994 On the general defective channel with informed encoder and capacities of some constrained memories
abstract
From an information-theoretical point of view the write once memory (WOM), the unidirectional memory (WUM), the write isolated memory (WIM), the memory with address faults (MAF), Blackwell's broadcast channel, and some other constrained memories and channels with an informed encoder can be considered as particular cases of the general defective channel (GDC) introduced by Kuznetsov (1983) as a generalization of a memory with defects. Using the concept of the GDC we consider a unified approach to the investigation of different types of natural and artificial channels with a finite number of states known to the encoder, but unknown to the decoder. To illustrate the usefulness of this approach we derive the capacities of the above-mentioned constrained memories (WOM, WUM, WIM, MAF) as corollaries of lower and upper bounds for the number of messages transmitted over the GDC.>
Alexander V. Kuznetsov 0002, A. J. Han Vinck
IEEE Trans. Inf. Theory1
1993 A coding scheme for single peak-shift correction in (d, k)-constrained channels
abstract
A two step coding scheme for peak-shift correction in (d, k)-constrained sequences is described. The first step is based on q-ary (q=k-d+1 is a prime) block codes that allow correction of specific types of double errors caused by single peak-shifts. The second step is a simple conversion of q-ary symbols to binary strings of the type 00. . .01. The concatenation of these strings satisfies the (d,k)-constraint within the codeword and in concatenation with neighboring words. The length of the codewords is controlled and, if necessary, can be fixed. The rate R/sub 1/ of the overall encoding approaches (2 log/sub 2/ (k-d+1)/(k+d+2) for large codeword lengths. Codes for correction of peak-shift, deletions, and insertions of zeros are presented as well. Encoding and decoding are done by simple algorithms without using look-up tables, enumeration or denumeration procedures and, therefore, the codelength may be large.>
Alexander V. Kuznetsov 0002, A. J. Han Vinck
IEEE Trans. Inf. Theory1