Title :
A Low-Complexity Circuit for On-Sensor Concurrent A/D Conversion and Compression
Author :
Leon-Salas, Walter D. ; Balkr, S. ; Sayood, Khalid ; Schemm, Nathan ; Hoffman, Michael W.
Author_Institution :
Nebraska Univ., Lincoln
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 muM CMOS technology and occupies an area of 0.0918 . Test measurements confirm the validity of the design.
Keywords :
CMOS integrated circuits; analogue-digital conversion; CMOS technology; Golomb-Rice coding parameter; Golomb-Rice entropy encoder; complexity savings; low-complexity adaptation rule; on-sensor compression; on-sensor concurrent A-D conversion; single-slope analog-to-digital converter; Analog-digital conversion; CMOS technology; Circuits; Discrete cosine transforms; Entropy; Hardware; Image coding; Sensor systems; Silicon; Video compression; Data compression; on-sensor computation; source coding;
Journal_Title :
Sensors Journal, IEEE
DOI :
10.1109/JSEN.2007.902952