Felix Lustenberger
École Polytechnique Fédérale de Lausanne
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Publication
Featured researches published by Felix Lustenberger.
international symposium on information theory | 1998
Hans-Andrea Loeliger; Felix Lustenberger; Markus Helfenstein; Felix Tarköy
The sum-product algorithm (belief/probability propagation) can be naturally mapped into analog transistor circuits. These circuits enable the construction of analog-VLSI decoders for turbo codes, low-density parity-check codes, and similar codes.
IEEE Communications Magazine | 1999
Hans-Andrea Loeliger; Felix Tarköy; Felix Lustenberger; Markus Helfenstein
The iterative decoding of state-of-the-art error correcting codes such as turbo codes is computationally demanding. It is argued that analog implementations of such decoders can be much more efficient than digital implementations. This article gives a tutorial introduction to research on this topic. It is estimated that analog decoders can outperform digital decoders by two orders of magnitude in speed and/or power consumption.
international symposium on circuits and systems | 1999
Felix Lustenberger; Markus Helfenstein; Hans-Andrea Loeliger; Felix Tarköy; George S. Moschytz
Iterative decoding of high-performance error-correcting codes, such as turbo and related codes, is computationally demanding. This paper presents the application of a new type of analog computing network that enables the construction of all-analog decoders for such codes which outperform digital decoders in terms of speed and/or power consumption. The analog networks are based on the observation that certain computations with probabilities are naturally carried out by elementary transistor circuits. As an illustrative example, a complete decoder circuit for a simple tail-biting trellis code is given. Practical implementation issues such as device and thermal mismatch are also discussed.
international symposium on circuits and systems | 2001
Felix Lustenberger; Hans-Andrea Loeliger
A new type of nonlinear analog transistor networks has recently been proposed for turbo decoding of error correcting codes. However, the influence of various nonidealities on the performance of such analog decoders is not yet well understood. The paper addresses the performance degradation due to transistor mismatch. Some analytical results are derived that allow to compare the accuracy of analog decoders with that of digital decoders. Moreover, these results enable to incorporate transistor mismatch into fast high-level simulations.
international symposium on circuits and systems | 2003
Matthias Frey; Hans-Andrea Loeliger; Felix Lustenberger; Patrick Merkli; Patrik Strebel
A collection of analog soft-gate CMOS ASICs operating in subthreshold-mode was implemented in a low-cost semi-custom 0.8 /spl mu/m technology. These soft-gates allow, in particular, the realization of various decoders for simple error correcting codes on the breadboard level. Measurement results are presented for an (8,4,4) Hamming code.
international symposium on circuits and systems | 1999
Markus Helfenstein; Felix Lustenberger; Andrea Loeliger; Felix Tarköy; George S. Moschytz
The design of various high-speed interface architectures for off-chip connections to and from analog, iterative VLSI decoders is discussed. It is shown that for applications with high transmission rates and low to medium accuracy, MOSFET-only R-2R ladders in combination with switched-current memory cells are ideally suited, due to their current mode nature as well as their power and area efficiency. It is expected that data rates well above 100 MS/s can be obtained.
international symposium on circuits and systems | 2007
Felix Lustenberger; David Beyeler; Edo Franzi; Peter Seitz; Thierry Zamofing
A universal software framework for hierarchical object recognition has been devised based on V. B. Mountcastles observation (Mountcastle, 1978) that the human cortex consists of the same basic functionality which is used to subdivide the complex computations into elementary matching tasks, independently whether auditory, visual, olfactory, haptic or any other sensory information is presented at the input. Combined with a unique vision sensor system that is capable to directly extract contrast magnitude and direction, a powerful combination of hardware and software for real-time pattern-recognition tasks at very low power-consumption levels is presented
international symposium on circuits and systems | 2007
Pierre-François Ruedi; Eric Grenet; Felix Lustenberger
A low cost autonomous vision system for real-time applications in natural environments has been realized. It encompasses a 160 by 128 pixel 120 dB dynamic range vision sensor performing contrast magnitude and direction computation at the pixel level (Ruedi, 2003), a BF 533 BlackFin processor, memory and a low data rate RF link usable to communicate the high level information extracted from the scene to a network of such devices. Used to implement a road marking detection algorithm, it proved to perform reliably at 25 frames per second in highly changing conditions ranging from night to sun in the field of view
Archive | 2005
Bernhard Büttgen; Felix Lustenberger; Peter Seitz
Archive | 1999
Markus Helfenstein; Hans-Andrea Loeliger; Felix Lustenberger; Felix Tarköy