"Personal Research Funding" project PUT405
PUT405 "New Coding Techniques in Data Communications and Storage (1.01.2014−31.12.2017)", Vitaly Skachek, University of Tartu, Faculty of Science and Technology, Institute of Computer Science.
PUT405
Uudsed kodeerimistehnikad andmeedastuses ja -salvestuses
New Coding Techniques in Data Communications and Storage
1.01.2014
31.12.2017
R&D project
Personal Research Funding
Exploratory project
Field of researchSubfieldCERCS specialtyFrascati Manual specialtyPercent
4. Natural Sciences and Engineering4.7. TelecommunicationsT180 Telecommunication engineering 2.2. Electrical engineering, electronics [electrical engineering, electronics, communication engineering and systems, computer engineering (hardware only) and other allied subjects]100,0
PeriodSum
01.01.2014−31.12.201461 800,00 EUR
01.01.2015−31.12.201561 800,00 EUR
01.01.2016−31.12.201661 800,00 EUR
01.01.2017−31.12.201761 800,00 EUR
247 200,00 EUR

Tänu hiljutistele tehnoloogilistele arengutele andmeedastuses ja -salvestuses on vaja efektiivselt edastada ja salvestada väga suuri andmehulki nii, et andmed oleksid kaitstud juhusliku müra põhjustatud vigade eest. Seda saab saavutada, kasutades efektiivsemaid veaparanduskoode ja algoritme. Selles projektis teeme ettepaneku arendada uusi veaparandustehnikaid kahel alal: (i) säilmälud; (ii) kodeeritud võrgud. Uudsete säilmälude jaoks on vaja arendada sobivad veaparandustehnikad. Teeme ettepaneku disainida uusi koode üle permutatsioonide ja multi-permutatsioonide hulkade koos efektiivsete kodeerimis- ja dekodeerimisalgoritmidega. Informatsiooni kodeerimine, kasutades vektorruumide alamruume võimaldab andmete parema vastupidavuse vigadele võrkudes, mille topoloogia ei ole teada või muutub. Teeme ettepaneku uurida uusi koode, mis sobivad kodeeritud võrkudele, samuti leida uusi algoritme ja rakendusi alamruumikoodidele.
Due to recent technological developments in data communications and storage, it becomes a necessity to transmit and to store efficiently very large amounts of data, such that the data is resistible to random noise errors. This can be achieved by using more efficient error-correcting codes and algorithms. In this project, we propose to develop new error-correcting techniques in two areas: (i) non-volatile memories; (ii) coded networks. New non-volatile memories require development of suitable error-correcting techniques. We propose to design new codes over sets of permutations and multi-permutations together with efficient algorithms for encoding and decoding. Coding of information using vector subspaces is able to provide better error-resistance of the data for networks with unknown or changing topology. We propose to study new codes suitable for coded networks, as well as finding new algorithms and new applications for subspace codes.