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.
Topics: Signal, Network packet, Base station, Optical fiber, Node (networking)
Papers published on a yearly basis
Papers
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TL;DR: The proposed centralized algorithm uses the dual decomposition method to optimize spectra in an efficient and computationally tractable way and shows significant performance gains over existing dynamics spectrum management techniques.
Abstract: Crosstalk is a major issue in modern digital subscriber line (DSL) systems such as ADSL and VDSL. Static spectrum management, which is the traditional way of ensuring spectral compatibility, employs spectral masks that can be overly conservative and lead to poor performance. This paper presents a centralized algorithm for optimal spectrum balancing in DSL. The algorithm uses the dual decomposition method to optimize spectra in an efficient and computationally tractable way. The algorithm shows significant performance gains over existing dynamics spectrum management (DSM) techniques, e.g., in one of the cases studied, the proposed centralized algorithm leads to a factor-of-four increase in data rate over the distributed DSM algorithm iterative waterfilling.
392 citations
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TL;DR: In this article, it was shown that the bubble wall is collapsing at more than 4 times the ambient speed of sound in the gas just prior to the light emitting moment when the gas has been compressed to a density determined by its van der Waals hard core.
390 citations
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TL;DR: A systematic overview of the state-of-the-art of time-delay-estimation algorithms ranging from the simple cross-correlation method to the advanced blind channel identification based techniques is presented.
Abstract: Time delay estimation has been a research topic of significant practical importance in many fields (radar, sonar, seismology, geophysics, ultrasonics, hands-free communications, etc.). It is a first stage that feeds into subsequent processing blocks for identifying, localizing, and tracking radiating sources. This area has made remarkable advances in the past few decades, and is continuing to progress, with an aim to create processors that are tolerant to both noise and reverberation. This paper presents a systematic overview of the state-of-the-art of time-delay-estimation algorithms ranging from the simple cross-correlation method to the advanced blind channel identification based techniques. We discuss the pros and cons of each individual algorithm, and outline their inherent relationships. We also provide experimental results to illustrate their performance differences in room acoustic environments where reverberation and noise are commonly encountered.
390 citations
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TL;DR: A method for detection and identification of polar gases and gas mixtures based on the technique of tera- hertz time-domain spectroscopy is presented, and the utility of a wavelet-based signal analysis for tasks such as denoising is demonstrated.
Abstract: A method for detection and identification of polar gases and gas mixtures based on the technique of tera- hertz time-domain spectroscopy is presented. This relatively new technology promises to be the first portable far-infrared spectrometer, providing a means for real-time spectroscopic measurements over a broad bandwidth up to several THz .T he measured time-domain waveforms can be efficiently param- eterized using standard tools from signal processing, includ- ing procedures developed for speech recognition applications. These are generally more efficient than conventional methods based on Fourier analysis, and are easier to implement in a real-time sensing system. Preliminary results of real-time gas mixture analysis using a linear predictive coding algo- rithm are presented. A number of possible avenues for im- proved signal processing schemes are discussed. In particular, the utility of a wavelet-based signal analysis for tasks such as denoising is demonstrated.
388 citations
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TL;DR: Two-photon microscopy is used to demonstrate Ca2+ electrogenesis in apical dendrites of deep-layer pyramidal neurons of rat barrel cortex in vivo, suggesting variable coupling between dendrite and soma.
Abstract: Dendritic Ca2+ action potentials in neocortical pyramidal neurons have been characterized in brain slices, but their presence and role in the intact neocortex remain unclear. Here we used two-photon microscopy to demonstrate Ca2+ electrogenesis in apical dendrites of deep-layer pyramidal neurons of rat barrel cortex in vivo. During whisker stimulation, complex spikes recorded intracellularly from distal dendrites and sharp waves in the electrocorticogram were accompanied by large dendritic [Ca2+ ] transients; these also occurred during bursts of action potentials recorded from somata of identified layer 5 neurons. The amplitude of the [Ca 2+] transients was largest proximal to the main bifurcation, where sodium action potentials produced little Ca2+ influx. In some cases, synaptic stimulation evoked [Ca2+] transients without a concomitant action potential burst, suggesting variable coupling between dendrite and soma.
388 citations
Authors
Showing all 37011 results
Name | H-index | Papers | Citations |
---|---|---|---|
George M. Whitesides | 240 | 1739 | 269833 |
Yoshua Bengio | 202 | 1033 | 420313 |
John A. Rogers | 177 | 1341 | 127390 |
Zhenan Bao | 169 | 865 | 106571 |
Thomas S. Huang | 146 | 1299 | 101564 |
Federico Capasso | 134 | 1189 | 76957 |
Robert S. Brown | 130 | 1243 | 65822 |
Christos Faloutsos | 127 | 789 | 77746 |
Robert J. Cava | 125 | 1042 | 71819 |
Ramamoorthy Ramesh | 122 | 649 | 67418 |
Yann LeCun | 121 | 369 | 171211 |
Kamil Ugurbil | 120 | 536 | 59053 |
Don Towsley | 119 | 883 | 56671 |
Steven P. DenBaars | 118 | 1366 | 60343 |
Robert E. Tarjan | 114 | 400 | 67305 |