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Institution

Qualcomm

CompanyFarnborough, 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
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Patent
27 Feb 2008
TL;DR: In this article, a representation of a user can move with respect to a graphical user interface based on input of the user based on a gesture recognition system, and based on the recognized gesture, the display of the graphical interface is altered and an application control is outputted.
Abstract: A representation of a user can move with respect to a graphical user interface based on input of a user. The graphical user interface comprises a central region and interaction elements disposed outside of the central region. The interaction elements are not shown until the representation of the user is aligned with the central region. A gesture of the user is recognized, and, based on the recognized gesture, the display of the graphical user interface is altered and an application control is outputted.

259 citations

Proceedings ArticleDOI
Yan Ye1, Marta Karczewicz1
12 Dec 2008
TL;DR: Together the improvements can bring on average 7% and 10% coding gain for CABAC and for CAVLC, respectively, with average coding gain of 12% for HD sequences.
Abstract: In this paper, a novel intra coding scheme is proposed. The proposed scheme improves H.264 intra coding from three aspects: 1) H.264 intra prediction is enhanced with additional bi-directional intra prediction modes; 2) H.264 integer transform is supplemented with directional transforms for some prediction modes; and 3) residual coefficient coding in CAVLC is improved. Compared to H.264, together the improvements can bring on average 7% and 10% coding gain for CABAC and for CAVLC, respectively, with average coding gain of 12% for HD sequences.

259 citations

Patent
15 Oct 2004
TL;DR: In this paper, a mobile communications device initiates a handoff from its current base station (BS) sector network attachment point to a new BS sector, e.g., via a network link.
Abstract: A mobile communications device initiates a handoff from its current base station (BS) sector network attachment point to a new BS sector. The mobile sends a handoff request over its current wireless link to the current BS sector, which forwards the request to the new BS sector, e.g., via a network link. The new BS sector processes the request assigning dedicated resources, e.g., an identifier and dedicated uplink segments. Information identifying the allocated resources is conveyed from the new BS sector via the current BS sector to the mobile. The mobile determines the time of the allocated dedicated segments based upon a received beacon signal from the new BS sector with known timing relationships to dedicated segments. The mobile breaks the original wireless link just prior to the time of the first assigned dedicated segment. The mobile communicates information on the assigned dedicated segments to perform registration operations, e.g., timing synchronization and power control, establishing a new wireless link.

259 citations

Patent
02 May 2002
TL;DR: In this article, adaptive reuse schemes are provided wherein the available system resources may be dynamically and/or adaptively partitioned and allocated to the cells based on a number of factors such as the observed interference levels, loading conditions, system requirements, and so on.
Abstract: Techniques to partition and allocate the available system resources among cells in a communication system, and to allocate the resources in each cell to terminals for data transmission on the uplink. In one aspect, adaptive reuse schemes are provided wherein the available system resources may be dynamically and/or adaptively partitioned and allocated to the cells based on a number of factors such as the observed interference levels, loading conditions, system requirements, and so on. A reuse plan is initially defined and may be redefined to reflect changes in the system. In another aspect, the system resources may be partitioned such that each cell is allocated a set of channels having different performance levels. In yet another aspect, terminals in each cell are scheduled for data transmission (e.g., based on their priority or load requirements) and assigned channels based on their tolerance to interference and the channels' performance.

257 citations

Journal ArticleDOI
TL;DR: A simple analytical model, borrowing ideas from statistical mechanics, is used to characterize the progress of the algorithm, and to provide guidance on parameter choices, and the proposed system is shown to be scalable: the random phase perturbations can be chosen such that the convergence time is linear in the number of collaborating nodes.
Abstract: The concept of distributed transmit beamforming is implicit in many key results of network information theory. However, its implementation in a wireless network involves the fundamental challenge of ensuring phase coherence of the radio frequency signals from the different transmitters in the presence of unknown phase offsets between the transmitters and unknown channel gains from the transmitters to the receiver. In this paper, it is shown that such phase alignment can be achieved using distributed adaptation by the transmitters with minimal feedback from the receiver. Specifically, each transmitter independently makes a small random adjustment to its phase at each iteration, while the receiver broadcasts a single bit of feedback, indicating whether the signal-to-noise ratio (SNR) improved or worsened after the current iteration. The transmitters keep the ?good? phase adjustments and discard the ?bad? ones, thus implementing a distributed ascent algorithm. It is shown that, for a broad class of distributions for the random phase adjustments, this procedure leads to asymptotic phase coherence with probability one. A simple analytical model, borrowing ideas from statistical mechanics, is used to characterize the progress of the algorithm, and to provide guidance on parameter choices. This analytical model is based on a conjecture on the distribution of the received phases when the number of transmitters becomes large. Finally, the proposed system is shown to be scalable: the random phase perturbations can be chosen such that the convergence time is linear in the number of collaborating nodes.

257 citations


Authors

Showing all 19413 results

NameH-indexPapersCitations
Jian Yang1421818111166
Xiaodong Wang1351573117552
Jeffrey G. Andrews11056263334
Martin Vetterli10576157825
Vinod Menon10126960241
Michael I. Miller9259934915
David Tse9243867248
Kannan Ramchandran9159234845
Michael Luby8928234894
Max Welling8944164602
R. Srikant8443226439
Jiaya Jia8029433545
Hai Li7957033848
Simon Haykin7745462085
Christopher W. Bielawski7633432512
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
20229
20211,188
20202,266
20192,224
20182,124
20171,477