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  4. A one-dimensional analog VLSI implementation for nonlinear real-time signal preprocessing
 
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A one-dimensional analog VLSI implementation for nonlinear real-time signal preprocessing

Publikationstyp
Journal Article
Date Issued
2001
Sprache
English
Author(s)
Wiehler, Klaus  
Heers, Josef  
Schnörr, Christoph  
Stiehl, Hans Siegfried  
Grigat, Rolf-Rainer  
Institut
Bildverarbeitungssysteme E-2  
TORE-URI
http://hdl.handle.net/11420/10283
Journal
Real-time imaging  
Volume
7
Issue
1
Start Page
127
End Page
142
Citation
Real-Time Imaging 7 (1): 127-142 (2001)
Publisher DOI
10.1006/rtim.1999.0218
Scopus ID
2-s2.0-0035251412
Publisher
Academic Press
Reconstruction of given noisy data is an ill-posed problem and a computationally intensive task. Nonlinear regularization techniques are used to find a unique solution under certain constraints. In our contribution we present a parallel mixed-signal architecture which solves this nonlinear problem with in microseconds. By connecting all parallel cells in a circular manner it is possible to process noisy data vectors of infinite length. This is achieved by virtually shifting the nonlinear adaptive filter kernel over the noisy data vector. Additionally, we focus on the interaction between theory, discretization, numerical simulations, macro-modeling, and analog VLSI implementation for a theoretically well understood class of computer vision in an exemplary and paradigmatic way. A one-dimensional (ID) experimental chip has been fabricated using 0.8 μm CMOS technology. On-chip measurements are shown to agree with results from numerical simulations. Results from applying the ID chip to nonlinear smoothing of two-dimensional image data will also be given correspondence. © 2001 Academic Press.
DDC Class
004: Informatik
600: Technik
620: Ingenieurwissenschaften
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