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Optimal Training for Residual Self-Interference for Full-Duplex One-Way Relays
(IEEE-INST Electrical Electronics Engineers Inc, 2018)
Channel estimation and optimal training sequence design for full-duplex one-way relays are investigated. We propose a training scheme to estimate the residual self-interference (RSI) channel and the channels between nodes ...
Improving OpenCL programmability with the Heterogeneous Programming Library
(Elsevier Science Bv, 2015)
The use of heterogeneous devices is becoming increasingly widespread. Their main drawback is their low programmability due to the large amount of details that must be handled. Another important problem is the reduced code ...
Contraction Blockers for Graphs with Forbidden Induced Paths
(Springer-Verlag Berlin, 2015)
We consider the following problem: can a certain graph parameter of some given graph be reduced by at least d for some integer d via at most k edge contractions for some given integer k? We examine three graph parameters: ...
Low Energy Fixed Clustering Algorithm (LEFCA) for Wireless Sensor Networks
(IEEE, 2015)
Wireless sensor networks (WSNs) have become an important part of our lives as they can be used in vast application areas from disaster relief to health care. As a consequence the life span and the energy consumption of a ...
Amplitude and Frequency Modulations with Cellular Neural Networks
(Springer, 2015)
Amplitude and frequency modulations are still the most popular modulation techniques in data transmission at telecommunication systems such as radio and television broadcasting gsm etc. However the architectures of these ...
Smart Systems From Design to Implementation of Embedded Smart Systems
(IEEE, 2016)
This paper aims to explain the design and implementation procedure of embedded Smart Systems. The idea is supported by four different Smart Systems as Smart Home Smart Agriculture Smart Campus and Seat and Study Module of ...
Data-Aided Autoregressive Sparse Channel Tracking for OFDM Systems
(IEEE, 2016)
In order to meet future communication system requirements channel estimation over fast fading and frequency selective channels is crucial. In this paper Space Alternated Generalized Expectation Maximization Maximum a ...
In silico identification of critical proteins associated with learning process and immune system for Down syndrome
(Public Library Science, 2019)
Understanding expression levels of proteins and their interactions is a key factor to diagnose and explain the Down syndrome which can be considered as the most prevalent reason of intellectual disability in human beings. ...
Optimizing NEURON Simulation Environment Using Remote Memory Access with Recursive Doubling on Distributed Memory Systems
(Hindawi Ltd, 2016)
Increase in complexity of neuronal network models escalated the efforts to make NEURON simulation environment efficient. The computational neuroscientists divided the equations into subnets amongst multiple processors for ...
GPU Accelerated Molecular Docking Simulation with Genetic Algorithms
(Springer International Publishing Ag, 2016)
Receptor-Ligand Molecular Docking is a very computationally expensive process used to predict possible drug candidates for many diseases. A faster docking technique would help life scientists to discover better therapeutics ...