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20022026
most citedDeep Recurrent Neural Networks for ECG Signal Denoising

81 citations

Showing 2026Show all

10 papers · 1 filter

eess.SP2026

How Temporal Dispersion of Radio Channels Depends on Signal Bandwidth

Jarosław Wojtuń, Tomasz Grasza, Cezary Ziółkowski +7

The degree of temporal dispersion of a radio channel is the basis for assessing its transmission capabilities. This paper addresses the practical issue of measuring the temporal pa…

quant-ph2026

Machine Learning of Quantum Entanglement from Noisy Measurements

Artur Czerwinski, Maciej Wiśniewski, Paweł Moszczyński

In this work, we investigate the application of Machine Learning (ML) algorithms to the identification and quantitative characterization of quantum entanglement in polarization-ent…

eess.SP2026★ 3 cited

Framework for Indoor Wireless Propagation Modeling Through Wireless Insite

Arao Zau Macaia, Niraj Narayan, Rajeev Shukla +8

Multipaths, reflections, diffractions, and material interactions complicate indoor wireless propagation modelling. More than 80% of wireless data is consumed indoors; hence, planni…

eess.SP2026

LSTM-Based Power Delay Profile Predictions for Intra-Bus Wireless Propagation

Rajeev Shukla, Atharva Verma, Aniruddha Chandra +8

Longlshort-term memory (LSTM) is a deep learning model that can capture long-term dependencies of wireless channel models and is highly adaptable to short-term changes in a wireles…

eess.SP2026

A Deep Learning Approach to Multipath Component Detection in Power Delay Profiles

Ondrej Zeleny, Radek Zavorka, Ales Prokes +5

Power Delay Profile (PDP) plays a crucial role in wireless communications, providing information on multipath propagation and signal strength variations over time. Accurate detecti…

eess.SP2026

Microdiversity and Vegetation Influence on Forward Scattering at 60 GHz and 80 GHz

Radek Zavorka, Ondrej Zeleny, Jiri Blumenstein +9

Understanding the impact of vegetation and small-scale antenna movements on signal propagation is important for the design and optimization of high-frequency wireless communication…

eess.SP2026★ 4 cited

Stochastic 3-D Foliage Modeling at 80 GHz: Experimental Validation and Ray-Tracing Simulations

Jiri Blumenstein, Radek Zavorka, Josef Vychodil +10

A stochastic modeling methodology for 3-D foliage is presented, aimed at enhancing ray-tracing simulations. The model supports adjustable stochastic geometry, density, and shape to…

eess.SP2026

Angularly-Resolved 3D Foliage Modeling and Measurements at 60 and 80 GHz: From Stochastic Geometry to Deterministic Channel Characterization

Jiri Blumenstein, Radek Zavorka, Josef Vychodil +10

In this paper, we show a stochastic approach to generate a 3D model of a foliage, which is then used for deterministic ray-tracing channel modeling. This approach is verified by a…

eess.SP2026★ 2 cited

Comparison of 60 GHz and 80 GHz Vehicle-to-Vehicle Channels Using Delay and Doppler Characteristics

Ales Prokes, Tomas Mikulasek, Josef Vychodil +6

The aim of this paper is to provide a comparison of channel characteristics for vehicle-to-vehicle (V2V) communication at 60 GHz and 80 GHz frequency bands in a high-mobility scena…

eess.SP2026

Millimeter Wave Path Loss for Diverse Antenna Patterns in Outdoor Environment

Jaroslaw Wojtun, Cezary Ziolkowski, Jan M. Kelner +9

Empirical path loss models are defined for a specific antenna system used during measurements and characterized by a particular radiation pattern and main lobe beam width. In this…