Institution
Qualcomm
Company•Farnborough, United Kingdom•
About: Qualcomm is a company organization based out in Farnborough, United Kingdom. It is known for research contribution in the topics: Wireless & Signal. The organization has 19408 authors who have published 38405 publications receiving 804693 citations. The organization is also known as: Qualcomm Incorporated & Qualcomm, Inc..
Papers published on a yearly basis
Papers
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28 Feb 2013
TL;DR: In this article, a system may be used to drive an array of loudspeakers to produce a sound field that includes a source component, whose energy is concentrated along a first direction relative to the array, and a masking component that is based on an estimated intensity of the source component in a second direction that is different from the first direction.
Abstract: Arrangements are described that may be used to reduce the intelligibility of speech using masker signals which are obfuscated yet correlated versions of the speech. Other applications of pitch analysis and demodulation are also described. A system may be used to drive an array of loudspeakers to produce a sound field that includes a source component, whose energy is concentrated along a first direction relative to the array, and a masking component that is based on an estimated intensity of the source component in a second direction that is different from the first direction.
207 citations
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23 Jun 1999TL;DR: A cellular communications system comprising of a mobile unit which designates an active set of base stations; a base station controller which puts the base stations in the active set in common channel soft handoff is described in this article.
Abstract: A cellular communications system comprising: a mobile unit which designates an active set of base stations; a base station; and a base station controller which puts the base stations in the active set in common channel soft handoff.
207 citations
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13 Jun 2010TL;DR: The fundamental mechanism which explains why “convolutional-like” or “spatially coupled” codes perform so well is described, and it is conjecture that for a large range of graphical systems a similar collapse of thresholds occurs once individual components are coupled sufficiently strongly.
Abstract: Convolutional LDPC ensembles, introduced by Felstrom and Zigangirov, have excellent thresholds and these thresholds are rapidly increasing as a function of the average degree. Several variations on the basic theme have been proposed to date, all of which share the good performance characteristics of convolutional LDPC ensembles. We describe the fundamental mechanism which explains why “convolutional-like” or “spatially coupled” codes perform so well. In essence, the spatial coupling of the individual code structure has the effect of increasing the belief-propagation (BP) threshold of the new ensemble to its maximum possible value, namely the maximum-a-posteriori (MAP) threshold of the underlying ensemble. For this reason we call this phenomenon “threshold saturation”. This gives an entirely new way of approaching capacity. One significant advantage of such a construction is that one can create capacity-approaching ensembles with an error correcting radius which is increasing in the blocklength. Our proof makes use of the area theorem of the BP-EXIT curve and the connection between the MAP and BP threshold recently pointed out by Measson, Montanari, Richardson, and Urbanke. Although we prove the connection between the MAP and the BP threshold only for a very specific ensemble and only for the binary erasure channel, empirically the same statement holds for a wide class of ensembles and channels. More generally, we conjecture that for a large range of graphical systems a similar collapse of thresholds occurs once individual components are coupled sufficiently strongly. This might give rise to improved algorithms as well as to new techniques for analysis.
206 citations
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02 Dec 2013TL;DR: In this article, a first antenna array of antenna coils is configured to generate a first wireless field and a second antenna array generates a second wireless field, at least partially overlaps the first and second antenna arrays.
Abstract: Systems and methods for wireless power transmission are described herein In one aspect, an apparatus for wireless power transmission comprises a first antenna array of antenna coils configured to generate a first wireless field A second antenna array of antenna coils generates a second wireless field The first antenna array at least partially overlaps the second antenna array A driver circuit generates first and second drive signals for generation of the first and second wireless fields via the first and second antenna arrays, respectively The first wireless field is orthogonal with respect to the second wireless field The first antenna array and the driver circuit power the antenna coils of the first antenna array with alternating polarities The second antenna array and the driver circuit power the antenna coils of the second antenna array with alternating polarities
206 citations
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22 Apr 2011TL;DR: In this paper, the authors propose a power distribution among a plurality of receivers, where at least one receiver of each receiver within a charging region of a transmitter is required to modify its associated load resistance to achieve a desired power distribution.
Abstract: Exemplary embodiments are directed to power distribution among a plurality of receivers. A method may include requesting at least one receiver of a plurality of receivers within a charging region of a transmitter to modify an associated load resistance to achieve a desired power distribution among the plurality of receivers. The method may further include requesting each receiver of the plurality of receivers to modify an associated load resistance to achieve a desired total impedance as seen by the transmitter while maintaining the desired power distribution among the plurality of receivers.
206 citations
Authors
Showing all 19413 results
Name | H-index | Papers | Citations |
---|---|---|---|
Jian Yang | 142 | 1818 | 111166 |
Xiaodong Wang | 135 | 1573 | 117552 |
Jeffrey G. Andrews | 110 | 562 | 63334 |
Martin Vetterli | 105 | 761 | 57825 |
Vinod Menon | 101 | 269 | 60241 |
Michael I. Miller | 92 | 599 | 34915 |
David Tse | 92 | 438 | 67248 |
Kannan Ramchandran | 91 | 592 | 34845 |
Michael Luby | 89 | 282 | 34894 |
Max Welling | 89 | 441 | 64602 |
R. Srikant | 84 | 432 | 26439 |
Jiaya Jia | 80 | 294 | 33545 |
Hai Li | 79 | 570 | 33848 |
Simon Haykin | 77 | 454 | 62085 |
Christopher W. Bielawski | 76 | 334 | 32512 |