ASIC design for robust signal and image processing

Author

Schulfz, R.R. ; Zeyedt, H.M. ; Stevenson, Robert L. ; Minniti, R.J. ; Bernstein, C.H.

Author_Institution

Dept. of Electr. Eng., Notre Dame Univ., IN, USA

fYear

1994

fDate

4-5 Mar 1994

Firstpage

138

Lastpage

143

Abstract

Maximum a posteriori (MAP) estimation using a robust signal model is capable of extracting a signal from additive noise, preserving edges in the signal estimate. A digital network can compute the estimate numerically using the gradient descent algorithm, or an analog network can be designed which provides the estimate as a steady-state output. An ASIC designed to perform robust signal processing has been manufactured, using the Huber-Markov random field (HMRF) signal model. This robust model is dependent upon two tunable parameters, which may be adjusted for a particular signal due to the design of novel analog circuit blocks

Keywords

analogue processing circuits; digital signal processing chips; image processing; maximum likelihood estimation; mixed analogue-digital integrated circuits; numerical analysis; signal detection; ASIC design; Huber-Markov random field signal model; analog network; digital network; gradient descent algorithm; maximum a posteriori estimation; robust image processing; robust signal processing; signal extraction; steady-state output; tunable parameters; Additive noise; Algorithm design and analysis; Analog computers; Application specific integrated circuits; Computer networks; Image processing; Noise robustness; Signal design; Signal processing; Signal processing algorithms;

fLanguage

English

Publisher

ieee

Conference_Titel

VLSI, 1994. Design Automation of High Performance VLSI Systems. GLSV '94, Proceedings., Fourth Great Lakes Symposium on

Conference_Location

Notre Dame, IN

Print_ISBN

0-8186-5610-7

Type

conf

DOI

10.1109/GLSV.1994.289980

Filename

289980