Results 71 to 80 of about 12,277 (211)

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  

A Quantised Push‐Sum Distributed Adaptive Momentum Algorithm for Optimisation Over Directed Networks

open access: yesCAAI Transactions on Intelligence Technology, Volume 11, Issue 4, Page 1284-1301, August 2026.
ABSTRACT In this paper, we investigate a distributed constrained optimisation problem over directed networks. The agents in the networks conduct local computations and communications, endeavouring to collaboratively minimise the aggregation of all locally known convex cost functions subject to a global constraint set.
Qingguo Lü   +6 more
wiley   +1 more source

Performance analysis of signal-to-noise ratio estimators in AWGN and fading channels [PDF]

open access: yes, 2008
Additive White Gaussian Noise (AWGN) and Rayleigh fading severely degrade the performance of the wireless communication systems. Most of the wireless communication systems require knowledge of the channel Signal-to-Noise ratio.
Sim, M.L.   +3 more
core   +2 more sources

Three‐Dimensional Array Multicasting of Cylindrical Vector Beams Using Spin‐Multiplexed Dammann Vortex Metasurface

open access: yesNanophotonics, Volume 15, Issue 14, 27 July 2026.
This study demonstrates, for the first time, a 3D volumetric cylindrical vector beam (CVB) multicasting architecture that employs multichannel array modes with an operational dimension of 3 × 3 × 5 as information carriers. This approach offers substantial potential for high‐capacity information dissemination in mode‐multiplexed communication networks ...
Zhiqiang Xie   +8 more
wiley   +1 more source

Downsampling of DFT precoded signals for the AWGN channel [PDF]

open access: yes2012 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT), 2012
In this paper we propose and analyze a method for down-sampling discrete Fourier transform (DFT) precoded signals. Since the symbols (in frequency) are in the constellation set, which is a subset of the entire complex plane, it is possible to detect N symbols from the DFT precoded signal when transmitting M
Tobias Lindstrøm Jensen   +3 more
openaire   +2 more sources

Graph-Based Codes and Iterative Decoding [PDF]

open access: yes, 2003
The field of error correcting codes was revolutionized by the introduction of turbo codes in 1993. These codes demonstrated dramatic performance improvements over any previously known codes, with significantly lower complexity.
Khandekar, Aamod Dinkar
core   +1 more source

Peningkatan Unjuk Kerja Sistem Transmisi Komunikasi Digital pada Penerima dengan Menggunakan Teknik Diversity Equal Gain Combining

open access: yesJurnal Nasional Teknik Elektro, 2016
In digital communication systems, their fading and noise in the channel will disrupt or degrade the performance of a digital communication system. Where this disorder, can cause the error detection signal, so as to change bits or symbols at the receiver
Baharuddin Abbas, Ondri Yudha Rusli
doaj   +1 more source

Optimized Joint Relay and Antenna Selection for Enhanced Full‐Duplex Relay Networks

open access: yesEngineering Reports, Volume 8, Issue 7, July 2026.
This study proposes a joint relay and antenna selection strategy for full‐duplex amplify‐and‐forward relay networks. By adaptively optimizing transmitter–receiver configurations based on channel conditions, the method reduces self‐interference, lowers outage probability, and symbol error rate, and enhances spectral efficiency, offering a scalable ...
Deepika Rani Sona   +3 more
wiley   +1 more source

ERROR PERFORMANCE OF TRELLIS CODED QUANTIZATION/ CONTINUOUS PHASE MODULATION SYSTEMS (TCQ/CPM) ON AWGN CHANNELS

open access: yesElectrica, 2003
In this paper, Trellis Coded Quantization/Continuous Phase Modulation systems have been introduced and error performance analysis has been investigated on AWGN channels.
Niyazi ODABASIOGLU   +2 more
doaj   +2 more sources

Machine Learning for Raman Spectroscopy Glioblastoma Classification

open access: yesJournal of Chemometrics, Volume 40, Issue 6, June 2026.
ABSTRACT This study presents a comprehensive evaluation of various computational models for glioblastoma cell classification using Raman spectroscopy data. We compare traditional machine learning methods such as support vector machines, boosting and random forests with more modern methods including convolutional neural networks, vision transformers and
Brendan McCane   +6 more
wiley   +1 more source

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