Standard
Method of Reducing Memory Size for Some Constrained Code. / Baksheev, Ivan; Ryabko, Boris.
2024 IEEE International Multi-Conference on Engineering, Computer and Information Sciences, SIBIRCON 2024. Institute of Electrical and Electronics Engineers Inc., 2024. стр. 5-7 (2024 IEEE International Multi-Conference on Engineering, Computer and Information Sciences, SIBIRCON 2024).
Результаты исследований: Публикации в книгах, отчётах, сборниках, трудах конференций › статья в сборнике материалов конференции › научная › Рецензирование
Harvard
Baksheev, I
& Ryabko, B 2024,
Method of Reducing Memory Size for Some Constrained Code. в
2024 IEEE International Multi-Conference on Engineering, Computer and Information Sciences, SIBIRCON 2024. 2024 IEEE International Multi-Conference on Engineering, Computer and Information Sciences, SIBIRCON 2024, Institute of Electrical and Electronics Engineers Inc., стр. 5-7, 2024 IEEE International Multi-Conference on Engineering, Computer and Information Sciences, Новосибирск, Российская Федерация,
30.09.2024.
https://doi.org/10.1109/SIBIRCON63777.2024.10758444
APA
Vancouver
Baksheev I
, Ryabko B.
Method of Reducing Memory Size for Some Constrained Code. в 2024 IEEE International Multi-Conference on Engineering, Computer and Information Sciences, SIBIRCON 2024. Institute of Electrical and Electronics Engineers Inc. 2024. стр. 5-7. (2024 IEEE International Multi-Conference on Engineering, Computer and Information Sciences, SIBIRCON 2024). doi: 10.1109/SIBIRCON63777.2024.10758444
Author
Baksheev, Ivan
; Ryabko, Boris. /
Method of Reducing Memory Size for Some Constrained Code. 2024 IEEE International Multi-Conference on Engineering, Computer and Information Sciences, SIBIRCON 2024. Institute of Electrical and Electronics Engineers Inc., 2024. стр. 5-7 (2024 IEEE International Multi-Conference on Engineering, Computer and Information Sciences, SIBIRCON 2024).
BibTeX
@inproceedings{4456f7064d1a4f8297cde2c925b661b5,
title = "Method of Reducing Memory Size for Some Constrained Code",
abstract = "We propose a method to reduce memory usage for a class of constrained codes while increasing time complexity. This method also allows for maintaining a balance between memory usage and time complexity, making it flexible for practical purposes. The method is applicable in cases where the code block length is significantly larger than the bounding constraint.",
keywords = "Constrained code, algorithm complexity, memory optimization, running digital sum",
author = "Ivan Baksheev and Boris Ryabko",
year = "2024",
month = nov,
day = "26",
doi = "10.1109/SIBIRCON63777.2024.10758444",
language = "English",
isbn = "9798331532024",
series = "2024 IEEE International Multi-Conference on Engineering, Computer and Information Sciences, SIBIRCON 2024",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "5--7",
booktitle = "2024 IEEE International Multi-Conference on Engineering, Computer and Information Sciences, SIBIRCON 2024",
address = "United States",
note = "2024 IEEE International Multi-Conference on Engineering, Computer and Information Sciences, SIBIRCON 2024 ; Conference date: 30-09-2024 Through 02-11-2024",
}
RIS
TY - GEN
T1 - Method of Reducing Memory Size for Some Constrained Code
AU - Baksheev, Ivan
AU - Ryabko, Boris
PY - 2024/11/26
Y1 - 2024/11/26
N2 - We propose a method to reduce memory usage for a class of constrained codes while increasing time complexity. This method also allows for maintaining a balance between memory usage and time complexity, making it flexible for practical purposes. The method is applicable in cases where the code block length is significantly larger than the bounding constraint.
AB - We propose a method to reduce memory usage for a class of constrained codes while increasing time complexity. This method also allows for maintaining a balance between memory usage and time complexity, making it flexible for practical purposes. The method is applicable in cases where the code block length is significantly larger than the bounding constraint.
KW - Constrained code
KW - algorithm complexity
KW - memory optimization
KW - running digital sum
UR - https://www.scopus.com/record/display.uri?eid=2-s2.0-85212099080&origin=inward&txGid=f04af5f19916005ebdb03017dd26492e
UR - https://www.mendeley.com/catalogue/2fc71bc3-bd66-3148-a8a2-88ee82e4352f/
U2 - 10.1109/SIBIRCON63777.2024.10758444
DO - 10.1109/SIBIRCON63777.2024.10758444
M3 - Conference contribution
SN - 9798331532024
T3 - 2024 IEEE International Multi-Conference on Engineering, Computer and Information Sciences, SIBIRCON 2024
SP - 5
EP - 7
BT - 2024 IEEE International Multi-Conference on Engineering, Computer and Information Sciences, SIBIRCON 2024
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2024 IEEE International Multi-Conference on Engineering, Computer and Information Sciences
Y2 - 30 September 2024 through 2 November 2024
ER -