Hubert Kaeslin
ETH Zurich
70 Papers
916 Citations
Hubert Kaeslin is an academic researcher from ETH Zurich. The author has contributed to research in topics: Very-large-scale integration & CMOS. The author has an hindex of 22, co-authored 70 publications. Previous affiliations of Hubert Kaeslin include École Polytechnique Fédérale de Lausanne.
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Papers
A 177 Mb/s VLSI implementation of the International Data Encryption Algorithm
R. Zimmermann,A. Curiger,H. Bonnenberg,Hubert Kaeslin,Norbert Felber,Wolfgang Fichtner +5 more
- 01 Mar 1994
TL;DR: A VLSI implementation of the International Data Encryption Algorithm is presented and all important standardized modes of operation of block ciphers, such as ECB, CBC, CFB, OFB, and MAC, are supported.
135
Globally-asynchronous locally-synchronous architectures to simplify the design of on-chip systems
J. Muttersbach,T. Villiger,Hubert Kaeslin,Norbert Felber,Wolfgang Fichtner +4 more
- 15 Sep 1999
TL;DR: A novel methodology for realizing Globally-Asynchronous Locally-Synchronous (GALS) architectures and a library of predesigned modules that facilitate the assembly of independently clocked modules to on-chip systems are reported.
112
High-speed compressed sensing reconstruction on FPGA using OMP and AMP
Lin Bai,P. Maechler,Michael Muehlberghuber,Hubert Kaeslin +3 more
- 01 Dec 2012
TL;DR: In this paper, the authors present generic high-speed FPGA implementations of orthogonal matching pursuit (OMP) and approximate message passing (AMP) algorithms for image reconstruction.
110
VLSI Design of Approximate Message Passing for Signal Restoration and Compressive Sensing
P. Maechler,Christoph Studer,David E. Bellasi,Arian Maleki,Andreas Burg,Norbert Felber,Hubert Kaeslin,Richard G. Baraniuk +7 more
TL;DR: This paper presents two generic very-large-scale integration (VLSI) architectures that implement the approximate message passing (AMP) algorithm for sparse signal recovery and shows that AMP-T is superior to AMp-M with respect to silicon area, throughput, and power consumption, whereasAMP-M offers more flexibility.
Gram-Schmidt-based QR decomposition for MIMO detection: VLSI implementation and comparison
P. Luethi,Christoph Studer,S. Duetsch,Eugen Zgraggen,Hubert Kaeslin,Norbert Felber,Wolfgang Fichtner +6 more
- 01 Nov 2008
TL;DR: An optimized fixed-point VLSI implementation of the modified Gram-Schmidt (MGS) QRD algorithm that incorporates regularization and additional sorting of the MIMO channel matrix that clearly showed superiority of the Givens rotation (GR) solution in terms of area, processing cycles, and throughput.