A low-complexity circuit for on-sensor concurrent A/D conversion and compression

Walter D. Leon-Salas, Sina Balkir, Khalid Sayood, Nathan Schemm, Michael W. Hoffman

Research output: Contribution to journalArticle

5 Scopus citations

Abstract

A low-complexity circuit for on-sensor compression is presented. The proposed circuit achieves complexity savings by combining a single-slope analog-to-digital converter with a Golomb-Rice entropy encoder and by implementing a low-complexity adaptation rule. The adaptation rule monitors the output codewords and minimizes their length by incrementing or decrementing the value of the Golomb-Rice coding parameter k. Its hardware implementation is one order of magnitude lower than existing adaptive algorithms. The compression circuit has been fabricated using a 0.35 μm CMOS technology and occupies an area of 0.0918 mm 2. Test measurements confirm the validity of the design.

Original languageEnglish (US)
Pages (from-to)1317-1324
Number of pages8
JournalIEEE Sensors Journal
Volume7
Issue number9
DOIs
StatePublished - Sep 1 2007

Keywords

  • Data compression
  • On-sensor computation
  • Source coding

ASJC Scopus subject areas

  • Instrumentation
  • Electrical and Electronic Engineering

Fingerprint Dive into the research topics of 'A low-complexity circuit for on-sensor concurrent A/D conversion and compression'. Together they form a unique fingerprint.

  • Cite this