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20022026
most citedDeep Recurrent Neural Networks for ECG Signal Denoising

81 citations

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16 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…

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…

eess.SP2025★ 1 cited

Channel impulse response peak clustering using neural networks

Petr Horky, Ales Prokes, Radek Zavorka +4

This paper introduces an approach to process channel sounder data acquired from Channel Impulse Response (CIR) of 60GHz and 80GHz channel sounder systems, through the integration o…

eess.SP2025

Comparative analysis of clustering methods for power delay profile in MMW bands and in-vehicle scenarios

Radek Zavorka, Ales Prokes, Josef Vychodil +6

The spatial statistics of radio wave propagation in specific environments and scenarios, as well as being able to recognize important signal components, are prerequisites for depen…

eess.SP2025★ 3 cited

Channel modeling for 60 GHz fixed mmWave O2I and O2O uplink with angular misalignment

Nitisha Singh, Sahaj K. Jha, Aniruddha Chandra +8

In this letter, we examine the effect of misalignment angle on cluster-based power delay profile (PDP) modeling for a 60 GHz millimeter-wave uplink. The analysis uses real-world da…

eess.SP2025

Power angular spectrum versus Doppler spectrum -- Measurements and analysis

Jan M. Kelner, Cezary Ziolkowski, Michal Kryk +9

In this paper, we present an empirical verification of the method of determining the Doppler spectrum (DS) from the power angular spectrum (PAS). Measurements were made for the fre…

eess.SP2025

Spectral efficiency for mmWave downlink with beam misalignment in urban macro scenario

Jaroslaw Wojtun, Cezary Ziolkowski, Jan M. Kelner +7

In this paper, we analyze the spectral efficiency for millimeter wave downlink with beam misalignment in urban macro scenario. For this purpose, we use a new approach based on the…

eess.SP2018★ 5 cited

Cooperative system of emission source localization based on SDF

Jan M. Kelner

Efficient and precise location of emission sources in an urbanized environment is very important in electronic warfare. Therefore, unmanned aerial vehicles (UAVs) are increasingly…

eess.SP2018★ 15 cited

Modeling power angle spectrum and antenna pattern directions in multipath propagation environment

Jan M. Kelner, Cezary Ziolkowski

Most propagation models do not consider the influence of antenna patterns on the parameters and characteristics of received signals. This assumption is equivalent to the use of iso…