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Item type:Item, Access status: Open Access , Studium a vývoj organických bioelektronických zařízení(Vysoké učení technické v Brně. Fakulta chemická) Marková, Aneta; Vala, Martin; Humpolíček, Petr; Glowacki, Eric DanielCílem této práce bylo vyvinout organický elektrochemický tranzistor (OECT) a organickou elektronickou iontovou pumpou (OEIP) pro využití v oblasti biomedicínských aplikací. Vývoj OECT byl realizován pomocí materiálového výzkumu a designu zařízení, a studia jejich vlivu na charakteristické parametry. Nejprve byla vyvinuta metoda přípravy vrstvy organického polovodiče na bázi PEDOT:PSS (poly(3,4-ethylendioxythiofen):poly(styrensulfonát) umožňující vytvářet dostatečně vodivé a stabilní vrstvy pro použití v podmínkách kultivace živočišných buněk. Následně byl zkoumán vliv změny designu a parametrů dílčích částí na transkonduktanci OECT. Výsledkem těchto studií byl OECT s transkonduktancí 108 mS. Tato hodnota patří mezi jednu z nejvyšších doposud publikovaných hodnot, navzdory tomu, že byl použit PEDOT:PSS s nižší vodivostí. V další části byly vyvíjeny zařízení pro studium výměny nebo transportu iontů v OECT a OEIP. Tato zařízení byla připravena a modifikována tak, aby je bylo možné elektricky řídit a monitorovat, a současně také sledovat změny koncentrace iontů pomocí absorbance a fluorescence. V obou případech byla potvrzena korelace mezi daty získanými optickou cestou a daty z elektrické odezvy. V obou případech byly vyvinuty vhodné systémy a ověřen koncept možnosti nezávislé detekce výměny iontů.Item type:Item, Access status: Open Access , Lightweight LLM-based End-to-End CSI Prediction for MIMO-OFDM Systems(Radioengineering Society, 2026-09) Rui, X.; Chen, R.; Zhao, X.; Yang, J.; Chen, J.Accurate channel state information (CSI) is essential for multiple-input multiple-output orthogonal frequency division multiplexing (MIMO-OFDM) systems, yet fast time-varying channels pose significant prediction challenges. Traditional approaches fail under high mobility, while deep learning methods rely heavily on large labeled datasets, limiting generalization with scarce training data. Although large language models (LLMs) show promise, their massive parameter count hinders deployment on resource-constrained edge devices. This paper proposes a lightweight, end-to-end CSI prediction framework built upon a general LLM. A time-frequency dual-domain feature extraction module captures subcarrier correlations and temporal dynamics from historical CSI, overcoming single-domain limitations. The end-to-end design maps historical CSI directly to future states, avoiding error propagation inherent in explicit channel estimation. Parameter efficiency is achieved through low-rank adaptation (LoRA) combined with knowledge distillation from a pre-trained LLM, enabling effective few-shot learning at low computational cost. Simulations demonstrate that the proposed scheme delivers robust prediction accuracy across diverse mobility scenar-ios, maintains strong performance under limited training data, and exhibits zero-shot cross-scenario generalization, significantly outperforming both conventional and deep learning baselines in TDD and FDD modes.Item type:Item, Access status: Open Access , A New Variable Step-size LMS Algorithm and Its Analysis(Radioengineering Society, 2026-09) Fan, X.; Yao, Q.; Chen, J.The LMS (least mean square) algorithm is an adaptive filtering algorithm widely used in the fields of signal processing and system identification. To avoid the compromise between the convergence speed and the steady-state error for fixed step-size LMS algorithm, a variable step-size LMS algorithm (named ELVSLMS algorithm) based on error autocorrelation estimation and logarithmic function is proposed and analyzed in this paper. In the proposed algorithm, the variable step-size filter is replaced by a filter whose step-size function is a modified function based on error autocorrelation estimation and logarithmic function. Thus, logarithmic nonlinear relationship between the step-size and the error autocorrelation is constructed. Therefore, the slow convergence speed and the weak anti-jamming ability of fixed step-size LMS are conquered. Simulation results show that the proposed ELVSLMS algorithm, compared to LMS algorithm, SVSLMS algorithm (whose step-size adjustment function is based on sigmoid function), TLVSLMS algorithm (whose step-size adjustment function is based on versoria function) and HSVSLMS algorithm (whose step-size adjustment function is based on hyperbolic secant function), not only has superior capability of tracking in the presence of noise and in a stable and even non-stable environment, but also can maintain a better convergence and smaller steady-state error.Item type:Item, Access status: Open Access , Propagation-Aware Link Budget and Availability Analysis of a 15 GHz TETRA Radio Relay Link in Mountainous and Tunnel Environments(Radioengineering Society, 2026-09) Tatovic, A.; Milosevic, M.; Damnjanovic, D.Reliable design of radio relay links in complex propagation environments remains a significant challenge for mission-critical communication systems. This paper presents a propagation-aware link budget methodology that integrates terrain morphology, Fresnel zone clearance, atmospheric attenuation (including gaseous absorption and precipitation), and multipath propagation into a unified analytical framework in accordance with ITU-R recommendations. The main contribution lies in the systematic integration of multiple propagation mechanisms into a unified procedure for link availability estimation and propagation-aware radio-relay link assessment. A representative 15 GHz radio relay link between the Laz tunnel and the Ovcar site, designed for a capacity of 100 Mb/s within a TETRA system, is used as a case study for verification. Analytical calculations of received signal power, fade margin, and link availability are supported by simulation-based verification using Radio Mobile. Good agreement between analytical and simulation-based predictions was obtained, with a received signal level difference below 2 dB. Multipath propagation is identified as the dominant degradation mechanism, while rain attenuation has a secondary impact. The achieved link availability exceeds 99.99%, demonstrates practical applicability for the considered case study.Item type:Item, Access status: Open Access , 3D Radiation Pattern Reconstruction from Reduced Far-Field Sampling via Iterative Spectral Interpolation(Radioengineering Society, 2026-09) Liu, J. W.This paper presents a method for reconstructing the three-dimensional antenna radiation pattern from reduced sampled far-field measurements, thereby reducing the need for extensive mechanical probe scans. The sampling density is selected according to planar near-field measurement principles, enabling an initial plane-wave representation of the radiation field. An iterative interpolation procedure in the spectral domain is then used to recover the missing angular data while accounting for practical measurement resolution limits. The complete source code written in Julia programming language for the reconstruction algorithm is publicly available to support reproducibility and future research.