Advanced search

Browse by subject

Browse by provider

Browse by language

Content Details
Normal View
CIP View

On Optimal Finite-length Block Codes of ...

Dong, Yanyan...

Free

Share this content

On Optimal Finite-length Block Codes of Size Four for Binary Symmetric Channels by Dong, Yanyan ( Author )

Content Provider	Lemonjar Open Access
Publisher	Australian National University
Publication Date	01-08-2023
Summary
ISBN	-
Item Type	Article
File Type	pdf
File Size	29.34 KB
Language	English
Subjects	-
Unlimited	MYR 0.01
Total read	-
URL	http://arxiv.org/abs/2006.07603

Citation

Review the full bibliography data and make any necessary corrections before using. Always consult your library resources for the exact formatting and punctuation guidelines.

AMA 11th EditionReferences

Dong, Yanyan. On Optimal Finite-length Block Codes of Size Four for Binary Symmetric Channels. Australian National University. August 01, 2023. Accessed November 01, 2024. https://online.provdatabase.com/cite/956

APA 7th EditionReferences

Dong, Yanyan. (2023). On Optimal Finite-length Block Codes of Size Four for Binary Symmetric Channels. Australian National University. https://online.provdatabase.com/cite/956

Chicago 17th EditionReferences

Dong, Yanyan. On Optimal Finite-length Block Codes of Size Four for Binary Symmetric Channels. Australian National University. 2023. https://online.provdatabase.com/cite/956

HarvardReferences

Dong, Yanyan. (2023). On Optimal Finite-length Block Codes of Size Four for Binary Symmetric Channels. [Online]. Australian National University. Available from: https://online.provdatabase.com/cite/956. (Accessed 01 November 2024).

Harvard AustraliaReferences

Dong, Yanyan, 2023, On Optimal Finite-length Block Codes of Size Four for Binary Symmetric Channels, Australian National University, viewed 01 November 2024, <https://online.provdatabase.com/cite/956>

MLA 9th EditionWorks Cited

Dong, Yanyan. On Optimal Finite-length Block Codes of Size Four for Binary Symmetric Channels. Australian National University, 2023. PROV Database, https://online.provdatabase.com/cite/956.

Share this eBook