Results 141 to 150 of about 66,835 (307)

Passive bandpass filters for modern microwave communication systems

open access: yesФизика волновых процессов и радиотехнические системы
Background. Bandpass filters are an integral part of any radio engineering systems and modern communication systems. Research and development of new passive components is due to growing need for such elements for modernization and creation of new modern ...
Aleksey S. Koigerov   +3 more
doaj   +1 more source

Bandpass Limiter [PDF]

open access: yes, 2016
Bandpass Limiter is a limiter that has a bandpass filter included in its design. When an audio signal is input into the limiter, it band-passes the audio signal before it gets to the limiter stage.
Vyas, Neil
core  

Structure and Spectroscopic Characterisation of Phenanthroline‐Based Iodobismuthate(III) Complexes Utilised for Raw Acoustic Signal Classification

open access: yesAdvanced Intelligent Discovery, EarlyView.
Memristors based on trimethylsulfonium (phenanthroline)tetraiodobismuthate have been utilised as a nonlinear node in a delayed feedback reservoir. This system allowed an efficient classification of acoustic signals, namely differentiation of vocalisation of the brushtail possum (Trichosurus vulpecula).
Ewelina Cechosz   +4 more
wiley   +1 more source

Compact waveguide bandpass filters with enhanced stopband performance

open access: yes, 2008
A novel type of E-plane S-shaped resonator loaded waveguide bandpass filter structure with enhanced stopband performance has been proposed. The structure has been easily realized with a single metalo-dielectric insert within the standard rectangular ...
Budimir, D., Suntheralingam, N.
core  

A Multimodal Intelligent System for Human Digital Twin Simulation with Continuous Kinematic Data Tracking, Biometric Prognosis, and Cognitive State Feedback in Industrial Environments

open access: yesAdvanced Intelligent Discovery, EarlyView.
This article implements a unified human digital twin framework that integrates cutting edge actuation, sensing, simulation, and bidirectional feedback capability. The approach includes integrating multimodal sensing, AI, and biomechanical simulation into one compact system.
Tajbeed Ahmed Chowdhury   +4 more
wiley   +1 more source

Ultra compact pseudo-elliptic inline waveguide bandpass filters using bypass coupling

open access: yes, 2014
This paper presents an ultra compact waveguide bandpass filter that exhibits a pseudo-elliptic response. The transmission zero created in the upper stopband to form a rapid roll off is produced through a bypass coupling with higher order modes.
Budimir, D.   +5 more
core   +1 more source

A High‐Precision Dynamic Movement Recognition Algorithm Using Multimodal Biological Signals for Human–Machine Interaction

open access: yesAdvanced Intelligent Systems, Volume 7, Issue 3, March 2025.
This article describes a multimodal fusion data acquisition and processing system about electromyography for dynamic movement recognition and bioelectrical impedance for key posture recognition. In addition, a new dynamic–static fusion algorithm strategy is designed.
Chenhao Cao   +5 more
wiley   +1 more source

Multilayer UWB bandpass filter using liquid crystal polymer technology

open access: yesScientific Reports
This proposed design presents a novel bandpass filter employing a Marchand balun to attain ultra-wideband (UWB) performance extending from 3.1 to 10.7 GHz with 6.8 GHz central frequency and 110% FBW.
Khaled Aliqab
doaj   +1 more source

Compact ridged-waveguide bandpass filters and diplexers

open access: yes, 2004
A ridged-waveguide diplexer incorporating integrated compact ridged-waveguide filters and a ridged-waveguide T-junction is presented. The compact size of the filter is achieved by integrating of bandpass periodic filter, and a low-pass structure is used ...
Budimir, D.   +7 more
core   +1 more source

Calibration‐Free Electromyography Motor Intent Decoding Using Large‐Scale Supervised Pretraining

open access: yesAdvanced Intelligent Systems, EarlyView.
Calibration‐free electromyography motor intent decoding is enabled through large‐scale supervised pretraining across heterogeneous datasets. A Spatially Aware Feature‐learning Transformer processes variable channel counts and electrode geometries, allowing transfer across users and recording setups. On a held‐out benchmark, fine‐tuned cross‐user models
Alexander E. Olsson   +3 more
wiley   +1 more source

Home - About - Disclaimer - Privacy