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Institution

Alcatel-Lucent

Stuttgart, Germany
About: Alcatel-Lucent is a based out in Stuttgart, Germany. It is known for research contribution in the topics: Signal & Network packet. The organization has 37003 authors who have published 53332 publications receiving 1430547 citations. The organization is also known as: Alcatel-Lucent S.A. & Alcatel.


Papers
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Journal ArticleDOI
TL;DR: In this article, the basic principles of optical regeneration in optical communication systems and review the current technology alternatives foreseen for future 40-Gb/s transmission system implementation, as investigated in Alcatel Research and Innovation.
Abstract: As optical amplifiers have opened new perspectives for optical communication systems with ultrahigh capacities and long-haul transmission distances (more than 1 Tb/s over 10 000 km), fundamental limits are being felt. In order to overcome these propagation impairments, another technology revolution is soon required. Promising developments concern in-line all-optical regeneration, which makes it possible to transmit optical data over virtually unlimited distances. In this paper, we recall the basic principles of optical regeneration in optical communication systems and review the current technology alternatives foreseen for future 40-Gb/s transmission system implementation, as investigated in Alcatel Research and Innovation. The alternative offered by optoelectronic regeneration is also discussed, so as to identify and highlight the advantages of the all-optical approach.

230 citations

Journal ArticleDOI
TL;DR: It is reported that, for the first time, a quantized Hall resistance is observed at the neighboring odd-denominator states $\ensuremath{ u}\phantom{\rule{0ex}{0ex}}=\phantom({0ex},0ex})7/3$ and $8/3 $ is also quantized.
Abstract: We report ultralow temperature experiments on the obscure fractional quantum Hall effect at Landau level filling factor $\ensuremath{ u}\phantom{\rule{0ex}{0ex}}=\phantom{\rule{0ex}{0ex}}5/2$ in a very high-mobility specimen of $\ensuremath{\mu}\phantom{\rule{0ex}{0ex}}=\phantom{\rule{0ex}{0ex}}1.7\ifmmode\times\else\texttimes\fi{}{10}^{7}{\mathrm{cm}}^{2}/\mathrm{V}\mathrm{s}$. We achieve an electron temperature as low as $\ensuremath{\sim}4\mathrm{mK}$, where we observe vanishing ${R}_{\mathrm{xx}}$ and, for the first time, a quantized Hall resistance, ${R}_{\mathrm{xy}}\phantom{\rule{0ex}{0ex}}=\phantom{\rule{0ex}{0ex}}h/(5/2){e}^{2}$ to within 2 ppm. ${R}_{\mathrm{xy}}$ at the neighboring odd-denominator states $\ensuremath{ u}\phantom{\rule{0ex}{0ex}}=\phantom{\rule{0ex}{0ex}}7/3$ and $8/3$ is also quantized. The temperature dependences of the ${R}_{\mathrm{xx}}$ minima at these fractional fillings yield activation energy gaps ${\ensuremath{\Delta}}_{5/2}\phantom{\rule{0ex}{0ex}}=\phantom{\rule{0ex}{0ex}}0.11$, ${\ensuremath{\Delta}}_{7/3}\phantom{\rule{0ex}{0ex}}=\phantom{\rule{0ex}{0ex}}0.10$, and ${\ensuremath{\Delta}}_{8/3}\phantom{\rule{0ex}{0ex}}=\phantom{\rule{0ex}{0ex}}0.055\mathrm{K}$.

230 citations

Journal ArticleDOI
TL;DR: In this paper, a hidden Markov model-based (HMM-based) utterance verification system using the framework of statistical hypothesis testing is described. But the proposed verification technique was integrated into a state-of-the-art connected digit recognition system, and the string error rate for valid digit strings was found to decrease by 57% when setting the rejection rate to 5% and was able to correctly reject over 999% of nonvocabulary word strings.
Abstract: Utterance verification represents an important technology in the design of user-friendly speech recognition systems It involves the recognition of keyword strings and the rejection of nonkeyword strings This paper describes a hidden Markov model-based (HMM-based) utterance verification system using the framework of statistical hypothesis testing The two major issues on how to design keyword and string scoring criteria are addressed For keyword verification, different alternative hypotheses are proposed based on the scores of antikeyword models and a general acoustic filler model For string verification, different measures are proposed with the objective of detecting nonvocabulary word strings and possibly erroneous strings (so-called putative errors) This paper also motivates the need for discriminative hypothesis testing in verification One such approach based on minimum classification error training is investigated in detail When the proposed verification technique was integrated into a state-of-the-art connected digit recognition system, the string error rate for valid digit strings was found to decrease by 57% when setting the rejection rate to 5% Furthermore, the system was able to correctly reject over 999% of nonvocabulary word strings

229 citations

Proceedings ArticleDOI
01 Jan 1987
TL;DR: An efficient search technique is presented which minimizes the computations necessary for estimating the motion in video-sequences by the block matching method and the theoretical basis for conducting such a reduced search is discussed.
Abstract: We present an efficient search technique which minimizes the computations necessary for estimating the motion in video-sequences by the block matching method We also discuss the theoretical basis for conducting such a reduced search by our technique We then present two algorithms which employ the proposed technique for estimating the motion typical of video-conferencing environment Next, the results of computer simulations on a real video-sequence are included which demonstrate the effectiveness of the proposed technique Finally, the results of a study of statistical properties of block motion-compensated frame difference signals are also summarized, to assist in future choice of a coding strategy for such signals

229 citations

Journal ArticleDOI
06 Feb 2003-Neuron
TL;DR: The authors analyzed visual signaling in populations of ganglion cells recorded from the isolated salamander retina and found that these neurons tend to fire synchronously far more frequently than expected by chance.

229 citations


Authors

Showing all 37011 results

NameH-indexPapersCitations
George M. Whitesides2401739269833
Yoshua Bengio2021033420313
John A. Rogers1771341127390
Zhenan Bao169865106571
Thomas S. Huang1461299101564
Federico Capasso134118976957
Robert S. Brown130124365822
Christos Faloutsos12778977746
Robert J. Cava125104271819
Ramamoorthy Ramesh12264967418
Yann LeCun121369171211
Kamil Ugurbil12053659053
Don Towsley11988356671
Steven P. DenBaars118136660343
Robert E. Tarjan11440067305
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
20231
202212
202130
202050
201983
2018215