Design and Accuracy Analysis of the Posit Number Representation–Decimal Conversion Algorithm

Abstract Posit is a number representation that has emerged in recent years and has higher accuracy and a dynamic number range than IEEE754 floating-point numbers. Since it has just emerged, it is not yet mature, and studies on the posit number representation are important for its widespread use in digital systems. In this study, a posit–decimal conversion algorithm is developed for the first time between the posit studies. In the developed algorithm, the precision and exponent length are parametric, and a design that can be flexibly adapted to various application requirements is presented. This flexibility allows the algorithm to be analyzed for accuracy and error at different bit lengths. The algorithm is evaluated on some activation functions, and its accuracy in computing these functions is analyzed in detail. The results obtained show that the algorithm provides remarkable accuracy even at low-bit lengths. An average accuracy of over 93% is achieved in 8-bit precision; this rate exceeded 99% in 16-bit. In 32-bit and higher bit lengths, the algorithm worked with 100% average accuracy.

Authors

Institutions

Publication Details

Journal
Arabian Journal for Science and Engineering
Published
2025-04-18
DOI
https://doi.org/10.1007/s13369-025-10183-0
Citations
1
Primary Topic
Image and Object Detection Techniques
Type
article
Field-Weighted Citation Impact
1.28
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Design and Accuracy Analysis of the Posit Number Representation–Decimal Conversion Algorithm

Tevhit Karacalı, BAHADIR ÖZKILBAÇ
1 citations
Arabian Journal for Science and Engineering
Image and Object Detection Techniques
1.28
article

Design and Accuracy Analysis of the Posit Number Representation–Decimal Conversion Algorithm

Tevhit Karacalı, BAHADIR ÖZKILBAÇ
article en
1 citations

Abstract

Abstract Posit is a number representation that has emerged in recent years and has higher accuracy and a dynamic number range than IEEE754 floating-point numbers. Since it has just emerged, it is not yet mature, and studies on the posit number representation are important for its widespread use in digital systems. In this study, a posit–decimal conversion algorithm is developed for the first time between the posit studies. In the developed algorithm, the precision and exponent length are parametric, and a design that can be flexibly adapted to various application requirements is presented. This flexibility allows the algorithm to be analyzed for accuracy and error at different bit lengths. The algorithm is evaluated on some activation functions, and its accuracy in computing these functions is analyzed in detail. The results obtained show that the algorithm provides remarkable accuracy even at low-bit lengths. An average accuracy of over 93% is achieved in 8-bit precision; this rate exceeded 99% in 16-bit. In 32-bit and higher bit lengths, the algorithm worked with 100% average accuracy.

Arabian Journal for Science and EngineeringVol. 50(23)
Atatürk University (TR)
Openalex Percentile: Top 21%
Image and Object Detection Techniques
1.28
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.