Skip to main navigation Skip to search Skip to main content

Minimum Distance Receiver using Dynamic Programming-Based Sparse Samples

  • University of Rhode Island

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Original languageEnglish
Title of host publication2024 IEEE 5th World AI IoT Congress, AIIoT 2024
EditorsRajashree Paul, Arpita Kundu, Rupsha Bhattacharyya
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages479-484
Number of pages6
ISBN (Electronic)9798350387803
DOIs
StatePublished - 2024
Externally publishedYes
Event5th IEEE Annual World AI IoT Congress, AIIoT 2024 - Seattle, United States
Duration: May 29 2024May 31 2024

Publication series

Series2024 IEEE 5th World AI IoT Congress, AIIoT 2024

Conference

Conference5th IEEE Annual World AI IoT Congress, AIIoT 2024
Country/TerritoryUnited States
CitySeattle
Period5/29/245/31/24

ASJC Scopus Subject Areas

  • Artificial Intelligence
  • Computer Networks and Communications
  • Computer Science Applications
  • Computer Vision and Pattern Recognition
  • Safety, Risk, Reliability and Quality
  • Education

Keywords

  • Autoregressive process
  • dynamic programming
  • minimum distance receiver
  • signal classification
  • sparse samples

Fingerprint

Dive into the research topics of 'Minimum Distance Receiver using Dynamic Programming-Based Sparse Samples'. Together they form a unique fingerprint.

Cite this