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Sueli I. R. Costa – One of the best experts on this subject based on the ideXlab platform.
ISIT – The lifting construction: A general solution for the fat strut problem2010 IEEE International Symposium on Information Theory, 2010Co-Authors: Neil J. A. Sloane, Vinay A. Vaishampayan, Sueli I. R. CostaAbstract:
A cylinder anchored at two distinct points of the lattice ℤn is called a strut if its interior does not contain a lattice point. We address the problem of constructing struts of maximal radius in ℤn. Our main result is a general construction technique, which we call the lifting construction, which produces a sequence of struts that are optimal in the limit. We also tighten a previous result of ours—an achievable lower bound on the volume of a strut. The problem is motivated by a nonlinear Analog Communication problem. We demonstrate, through simulation, improvements in performance that are obtained using our construction.
Fat struts: Constructions and a bound2009 IEEE Information Theory Workshop, 2009Co-Authors: Neil J. A. Sloane, Vinay A. Vaishampayan, Sueli I. R. CostaAbstract:
Given a lattice A C R, a cylinder anchored at two lattice points is called a strut if its interior does not contain a lattice point. We wish to determine the maximum radius of a strut of given length. Optimal struts are constructed in Z3 and Z4. We also derive, using a nonconstructive but elementary argument, an achievable lower bound on the product Z∊, where I and ∊ are the length and radius of a strut in Zn. The motivation for the problem comes from studying nonlinear Analog Communication systems.
A. Abusland – One of the best experts on this subject based on the ideXlab platform.
ICNN – Neuromorphic Analog CommunicationProceedings of International Conference on Neural Networks (ICNN'96), 1Co-Authors: J.-t. Marienborg, Tor Sverre Lande, Mats Hovin, A. AbuslandAbstract:
A recurring topic concerning neural nets implemented in VLSI is chip to chip Communication and chip to computer Communication. One common approach is the asynchronous event protocol, where an asynchronous digital bus is transferring “neural spikes” as events. Since neural circuits are spiking randomly, a collision strategy must be adopted preserving the statistical properties of the neural representation. This paper describes the methodology and theory behind an approach preserving and taking advantage of the statistical properties of the pulses. It describes a bus encoding scheme with 100% collision detection and a proposed implementation of a simple arbitration circuit implemented with event aging and a CSMA collision strategy. Some simulation results are included.
Abdulkadir Sengur – One of the best experts on this subject based on the ideXlab platform.
Online modulation recognition of Analog Communication signals using neural networkExpert Systems with Applications, 2007Co-Authors: Hanifi Guldemir, Abdulkadir SengurAbstract:
In this paper, a neural network based online Analog modulation recognition of Communication signals is presented. The proposed system can discriminate between amplitude modulation (AM), frequency modulation (FM), double sideband (DSB), upper sideband (USB), lower sideband (LSB) and continuous wave (CW) modulations. A matlab graphical user interface (GUI) is designed to see the intercepted signal, its power spectral density, frequency and modulation type on the screen of the personnel computer. To achieve correct classification, extensive simulations have been done for training the neural network. Theoretical simulations and experimental results indicate good performance even at signal-to-noise ratios as low as 5dB.