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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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
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01 Jan 2019TL;DR: In this article, the authors present a general theory of group equivariant convolutional neural networks (G-CNNs) on homogeneous spaces such as Euclidean space and the sphere.
Abstract: We present a general theory of Group equivariant Convolutional Neural Networks (G-CNNs) on homogeneous spaces such as Euclidean space and the sphere. Feature maps in these networks represent fields on a homogeneous base space, and layers are equivariant maps between spaces of fields. The theory enables a systematic classification of all existing G-CNNs in terms of their symmetry group, base space, and field type. We also answer a fundamental question: what is the most general kind of equivariant linear map between feature spaces (fields) of given types? We show that such maps correspond one-to-one with generalized convolutions with an equivariant kernel, and characterize the space of such kernels.
206 citations
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29 Sep 2009TL;DR: In this paper, a bitmap may be sent by a base station and/or a relay station to identify subframes of at least two types in multiple radio frames, and UEs may use the bitmap to control their operation.
Abstract: Techniques for supporting operation of relay stations in wireless communication systems are described. In an aspect, a bitmap may be sent by a base station and/or a relay station to identify subframes of at least two types in multiple radio frames. For example, the bitmap may indicate whether each subframe covered by the bitmap is of a first type or a second type. UEs may use the bitmap to control their operation. For example, a UE may perform channel estimation or measurement for the subframes of the first type and may skip channel estimation and measurement for the subframes of the second type. In another aspect, a base station may transmit data and/or control information on resources not used by a relay station to transmit a reference signal. This may avoid interference to the reference signal from the relay station, which may improve performance for UEs communicating with the relay station.
206 citations
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10 Sep 2010TL;DR: In this paper, a thermoelectric element is coupled to a wireless power receiver and configured to heat or cool at least a portion of the device upon receipt of wireless power.
Abstract: Exemplary embodiments are directed to heating or cooling with wireless power. A device may comprise a wireless power receiver having at least one associated receive antenna. The device may further include a thermoelectric element operably coupled to the wireless power receiver and configured to heat or cool at least a portion of the device upon receipt of wireless power.
205 citations
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10 May 2001TL;DR: In this paper, the inner convolutional encoding is used to group the data bits into symbols, each symbol having "m" bits, and then the symbols are mapped to a complex plane using quadrature amplitude modulation (QAM).
Abstract: In an orthogonal frequency division multiplexing (OFDM) system which uses an outer Reed-Solomon encoder and interleaver an inner convolutional encoder, after the inner convolutional encoding the data bits are interleaved, and then grouped into symbols, each symbol having “m” bits. After grouping, the symbols are mapped to a complex plane using quadrature amplitude modulation (QAM). Thus, bits, not symbols, are interleaved by the inner interleaver. A receiver performs a soft decision regarding the value of each bit in each complex QAM symbol received.
205 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 |