Results 251 to 260 of about 1,835,725 (293)

Implementation of Nonisobaric TMT Analogs for Accurate Precursor-Level Quantification by plexDIA. [PDF]

Rapid Commun Mass Spectrom
Wei TY, Paulo JA.
europepmc   +1 more source

System-level characterisation of hybrid LEO-terrestrial link performance under Ka-band propagation and interference constraints. [PDF]

Sci Rep
Rajkumar S, Menon A, Gupta S, Singh I.
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An Open-Quantum-Systems Theory of Quantum-Biological Communication Channels. [PDF]

IEEE Trans Mol Biol Multiscale Commun
Dong L.
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Orthogonal Band Planning and Synergistic Interference Suppression for Full-Duplex Acoustic Telemetry in Coiled Tubing of Deep Horizontal Wells. [PDF]

Sensors (Basel)
Geng H, Xie Y, Wu J, Wang Z, Han H, Yang D.   +5 more
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Integrated Optical System for Mobile Atomic Interferometric Gravity Gradient. [PDF]

Sensors (Basel)
Wang J, Han B, Bai J, Wang Y.
europepmc   +1 more source

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On the MIMO interference channel

2010 Information Theory and Applications Workshop (ITA), 2010
We propose an iterative algorithm to design optimal linear transmitters and receivers in a K-user frequency-flat MIMO Interference Channel (MIMO IFC) with full channel state information (CSI). The transmitters and receivers are optimized to maximize the Weighted Sum Rate (WSR) of the MIMO IFC. Maximization of WSR is desirable since it allows the system
Francesco Negro, Shakti Prasad Shenoy, Irfan Ghauri, Dirk T. M. Slock   +3 more
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Interference channel with delay: Noisy interference

2010 International ITG Workshop on Smart Antennas (WSA), 2010
We consider the interference channel with two transmit-receive pairs when there is a delay in receiving the desired message compared to interference. We study this channel in the weak interference regime (noisy interference), and show that delay does not affect the capacity of the interference channel in this region. This also holds for an interference
Anas Chaaban, Aydin Sezgin
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Interference channels

IEEE Transactions on Information Theory, 1978
An interference channel is a communication medium shared by M sender-receiver pairs. Transmission of information from each sender to its corresponding receiver interferes with the communications between the other senders and their receivers. This corresponds to a frequent situation in communications, and defines an M -dimensional capacity region.
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On the Gaussian interference channel

IEEE Transactions on Information Theory, 1985
The determination of the capacity region of the Gaussian interference channel remains an open problem. The channel model is described and cases that have been solved by other researchers are summarized. The optimality is established of two extreme points in the achievable region of the general Gaussian interference channel.
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