Results 71 to 80 of about 41,621 (188)
IET Communications, Volume 20, Issue 1, January/December 2026.This paper addresses channel estimation in mmWave (millimetre wave) hybrid MIMO (multiple‐input multiple‐output) systems impaired by residual transceiver hardware nonidealities, modelled as additive non‐Gaussian noise via Bussgang decomposition. A hyperparameter‐free maximum Versoria criterion (MVC)‐based channel estimator is proposed, featuring a ...
Rangeet Mitra +5 more
wiley +1 more source
The Model of the Low Rate Telemetry Communication System for Matlab-Simulink [PDF]
, 2012 This article is dedicated to the model of low rate telemetry system, which has been developed for Matlab-Simulink environment. The purpose of this model is a research of the low rate telemetry transmission reliability in those cases where the modulation ...
Kasal, M., Spacek, J.
core +1 more source
IET Communications, Volume 20, Issue 1, January/December 2026.This research proposes a Regularised Hyperparameter Bilevel Optimisation with Continual Learning‐based Deep Neural Network (RHBO‐CLDNN) for beamforming in an Ultra‐Wide Band (UWB) system. The RHBO ensures the hyperparameter efficiency at both upper and lower levels, which allows DNN to fine‐tune the unique characteristics of the UWB system, which leads
Pradeep Kumar Siddanna +2 more
wiley +1 more source
Communication‐Security Co‐Design for Federated Learning in Grant‐Free NOMA IoT Networks
IET Communications, Volume 20, Issue 1, January/December 2026.This article presents SA‐PPO, a Security‐Aware Proximal Policy Optimisation framework for federated learning over grant‐free NOMA (non‐orthogonal multiple access) in IoT networks. By jointly optimising access control, resource allocation, and trust‐weighted aggregation using cross‐layer indicators, SA‐PPO enhances both communication reliability and ...
Emmanuel Atebawone +5 more
wiley +1 more source
Control-theoretic Approach to Communication with Feedback: Fundamental Limits and Code Design [PDF]
, 2010 Feedback communication is studied from a control-theoretic perspective, mapping the communication problem to a control problem in which the control signal is received through the same noisy channel as in the communication problem, and the (nonlinear and ...
Ehsan Ardestanizadeh +2 more
core
An Improved Flip SD Algorithm for Symmetric Polar Codes
IET Communications, Volume 20, Issue 1, January/December 2026.In this study, an improved flip SD algorithm for symmetric polar codes is proposed. Based on the symmetrical structure, a flipping set is first constructed, which exhibits a reasonable size and a high probability of encompassing unfavourable values.
Yanfeng Li +4 more
wiley +1 more source
Pengaruh Pembobotan Desain Codebook terhadap Kinerja Sistem Sparse Code Multiple Access
Jurnal Nasional Teknik Elektro dan Teknologi InformasiSparse code multiple access (SCMA) dapat mendukung sistem saat terjadi overloading di sisi penerima sehingga meningkatkan efisiensi spektrum sistem dengan merancang mapping symbol dengan tepat. Kinerja SCMA ditentukan dengan codebook yang bersifat sparse
Shilvy Fatma Fitria Rachmawati Fatma +2 more
doaj +1 more source
On BER Performance of EBPSK-MODEM in AWGN Channel
Sensors, 2010 In order to satisfy the higher and higher demand for communication systems, an Extended Binary Phase Shift Keying (EBPSK) system with very high spectra efficiency has been proposed. During the research, a special kind of filters was found, which can amplify the signal characteristics and remove utmost noise, i.e., at the point of the phase jumping ...
Wu, Feng
openaire +3 more sources
IET Communications, Volume 20, Issue 1, January/December 2026.This paper introduces a novel AMR method named IUDR‐Net to address the challenge of poor recognition accuracy under low SNR conditions. The method first employs the improved U‐Lite network to suppress the impact of noise effectively and then adopts the ResNet18‐1D network to perform the AMR task efficiently.
Haikun Fang +4 more
wiley +1 more source
Rudin-Osher-Fatemi Total Variation Denoising using Split Bregman
Image Processing On Line, 2012 Denoising is the problem of removing noise from an image. The most commonly studied case is with additive white Gaussian noise (AWGN), where the observed noisy image f is related to the underlying true image u by f=u+η and η is at each point in space ...
Pascal Getreuer
doaj +1 more source