Bilgilendirme: Kurulum ve veri kapsamındaki çalışmalar devam etmektedir. Göstereceğiniz anlayış için teşekkür ederiz.
 

New Early Termination Methos for Turbo Decoders

Loading...
Publication Logo

Date

2014

Journal Title

Journal ISSN

Volume Title

Publisher

Ieee

Open Access Color

Green Open Access

No

OpenAIRE Downloads

OpenAIRE Views

Publicly Funded

No
Impulse
Average
Influence
Average
Popularity
Average

Research Projects

Journal Issue

Abstract

Turbo codes have large latency due to iterative decoding steps and complex decoding algorithms To decrease the decoding delay it is essential to terminate the decoding operation as soon as there is sufficient information for data bits. Early termination can be achieved by defining stopping criteria beyond which negligible achievement is observed. In this article, we investigate some efficient stopping criteria based on the variance of extrinsic information and population of the bits below a predetermined threshold. We show that variance based method is better than its previously suggested counterparts, and threshold based method is the least complex one considering the available methods.

Description

Keywords

Fields of Science

0301 basic medicine, 03 medical and health sciences, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Citation

Gazi, Orhan, "New Early Termination Methos For Turbo Decoders", 22nd IEEE Signal Processing and Communications Applications Conference (SIU), pp. 1215-1218, (2014).

WoS Q

Scopus Q

OpenCitations Logo
OpenCitations Citation Count
3

Source

22nd IEEE Signal Processing and Communications Applications Conference (SIU) -- APR 23-25, 2014 -- Karadeniz Teknik Univ, Trabzon, TURKEY

Volume

Issue

Start Page

1215

End Page

1218
PlumX Metrics
Citations

CrossRef : 1

Scopus : 3

Captures

Mendeley Readers : 4

SCOPUS™ Citations

3

checked on Feb 24, 2026

Web of Science™ Citations

2

checked on Feb 24, 2026

Page Views

5

checked on Feb 24, 2026

Google Scholar Logo
Google Scholar™
OpenAlex Logo
OpenAlex FWCI
0.36996174

Sustainable Development Goals