Results 51 to 60 of about 3,313 (180)

A Machine Learning Approach for Signal Detection Using Rational Function Curve Fitting in Slow Flat Fading MIMO Communications

open access: yesEngineering Reports, Volume 8, Issue 10, October 2026.
In this manuscript, we propose a new scheme for signal detection in MIMO communication, based on curve fitting (CF) and supervised machine learning, which classifies received signals without emphasis and without needing to know the signal constellation, modulation system, channel estimation, and transmitter‐receiver structure of an Nt × Nr MIMO ...
Hamid Nourollahi   +2 more
wiley   +1 more source

Diversity order vs rate in an AWGN channel [PDF]

open access: yes2012 National Conference on Communications (NCC), 2012
We study the diversity order vs rate of an additive white Gaussian noise (AWGN) channel in the whole capacity region. We show that for discrete input as well as for continuous input, Gallager's upper bounds on error probability have exponential diversity in low and high rate region but only subexponential in the mid-rate region.
Anusha Gorantla, Vinod Sharma
openaire   +2 more sources

Design of a Multi‐Complex Disturbance Generator Using Virtual Instrumentation for Power Quality Monitoring Research

open access: yesEnergy Science &Engineering, Volume 14, Issue 10, Page 4700-4721, October 2026.
A real‐time power quality disturbance generator is developed using virtual instrumentation based on LabVIEW and NI MyDAQ. The system generates IEEE‐standard PQ events with controllable noise and harmonics. Measurement uncertainty analysis confirms its reliability for realistic testing of Power Quality Disturbance detection and classification algorithms.
Abdullah Saud   +5 more
wiley   +1 more source

Pulse Response Measurement and Processing by Six-Port Reflectometr

open access: yesAdvances in Electrical and Electronic Engineering, 2008
In this paper the pulse response estimation of radio channel by Six-port reflectometer (SPR) is described. The measurement of pulse response is in real time, with baseband conversion and without demodulation.
Norbert Majer   +3 more
doaj  

Physics‐Constrained Variational Autoencoder for Uncertainty Quantification of Full Waveform Inversion

open access: yesJournal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 5, October 2026.
Abstract We propose a variational autoencoder framework to directly assess uncertainties in subsurface models produced by single‐ and multiparameter full waveform inversion (FWI). The new method does not require pretraining on labeled data, thus it significantly reduces computational cost and storage requirements.
Abdelrahman Elmeliegy   +4 more
wiley   +1 more source

Deep Network Reparameterized Full‐Waveform Inversion From Sequential to Simultaneous Sources With Adjoint‐State Method

open access: yesJournal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 5, October 2026.
Abstract Full‐waveform inversion (FWI) relies on sequential‐source (SQ) workflows for high imaging precision, while simultaneous‐source (SML) encoding drastically accelerates computation but introduces irreversible wavenumber discontinuity artifacts in hybrid‐domain implementations.
Jinwei Fang   +4 more
wiley   +1 more source

MusicoCrypt: A Music‐Modulated Stream Cipher Using Deep Pitch Estimation and Number‐Theoretic Dynamics

open access: yesConcurrency and Computation: Practice and Experience, Volume 38, Issue 15, August 2026.
ABSTRACT This paper presents MusicoCrypt, a context‐bound music‐modulated stream‐encryption framework that incorporates audio‐derived public side information into a pseudorandom‐function‐centered encryption workflow. A shared reference recording is processed using a pitch‐tracking pipeline, and ordered note pairs are encoded as residues in ℤ132 ...
Cilen Gulsum Turan   +2 more
wiley   +1 more source

Golden Angle Modulation: Approaching the AWGN Capacity

open access: yesCoRR, 2018
Submitted draft paper for review.
Peter Larsson   +2 more
openaire   +2 more sources

Reproducible Ozaki‐Based Matrix Multiplication on Photonic Matrix Processors With Algorithm‐Based Fault Tolerance

open access: yesConcurrency and Computation: Practice and Experience, Volume 38, Issue 16, August 2026.
ABSTRACT Photonic matrix processors are attracting attention in applications such as AI inference due to their low‐power and low‐latency properties. However, their applicability has been largely limited to low‐precision computation due to inherent stochastic analog noise and device non‐idealities.
Shoichi Hirasawa, Michihiro Koibuchi
wiley   +1 more source

Artificial Bias Induction in Fourth-Order Cumulants Based Automatic Modulation Classification Algorithm in AWGN and Multipath Propagation Channel [PDF]

open access: yesRadioengineering
Automatic modulation classification (AMC) represents a wide used technique for modulation format recognition of signals considered to be a priori unknown.
R. Bozovic, V. Orlic, G. Kekovic
doaj  

Home - About - Disclaimer - Privacy