Results 41 to 50 of about 123,247 (141)
IEEE Access, 2018 This paper proposes a new division-free generalized sidelobe canceller-based adaptive beamformer and its efficient hardware realization. A discrete cosine transform-based blocking matrix is proposed for uniform linear array to decorrelate the input so as
W. Zhao +3 more
doaj +1 more source
Effective Dereverberation with a Lower Complexity at Presence of the Noise
Applied Sciences, 2022 Adaptive beamforming and deconvolution techniques have shown effectiveness for reducing noise and reverberation. The minimum variance distortionless response (MVDR) beamformer is the most widely used for adaptive beamforming, whereas multichannel linear ...
Fengqi Tan, Changchun Bao, Jing Zhou
doaj +1 more source
Advanced Science, EarlyView.A new analytical pipeline, FREQuency‐resolved Network Estimation via Source Separation (FREQ‐NESS), reveals how the brain at rest is organized in frequency‐specific networks and dynamically rearranges during auditory stimulation. By analyzing source‐reconstructed magnetoencephalography (MEG) data, FREQ‐NESS uncovers the networks' prominence, spatial ...
Mattia Rosso +6 more
wiley +1 more source
SVD-Based Optimal Filtering Technique for Noise Reduction in Hearing Aids Using Two Microphones
EURASIP Journal on Advances in Signal Processing, 2002 We introduce a new SVD-based (Singular value decomposition) strategy for noise reduction in hearing aids. This technique is evaluated for noise reduction in a behind-the-ear (BTE) hearing aid where two omnidirectional microphones are mounted in an ...
Moonen Marc +2 more
doaj +1 more source
Dual-Mic Speech Enhancement Based on TF-GSC with Leakage Suppression and Signal Recovery
Applied Sciences, 2021 The transfer function-generalized sidelobe canceller (TF-GSC) is one of the most popular structures for the adaptive beamformer used in multi-channel speech enhancement. Although the TF-GSC has shown decent performance, a certain amount of steering error
Hansol Kim, Jong Won Shin
doaj +1 more source
Knowledge-aided adaptive beamforming
2008 IEEE International Conference on Acoustics, Speech and Signal Processing, 2008 In array processing, when the available snapshot number is comparable with or even smaller than the sensor number, the sample covariance matrix R is a poor estimate of the true covariance matrix R. To estimate R more accurately, prior environmental knowledge can be used, which is manifested as knowing an a priori covariance matrix R0.
Xumin Zhu, Jian Li, Petre Stoica
openaire +3 more sources
Label‐Free Dual‐Modal Photoacoustic/Ultrasound Localization Imaging for Studying Acute Kidney Injury
Advanced Science, EarlyView.This work develops a 3D label‐free photoacoustic/super‐resolution ultrasound imaging system as a comprehensive non‐invasive tool for acute kidney injury (AKI) study. This technique visualizes the intricate structure of renal microvessels and provides critical physiological insights, including renal hemodynamics and oxygenation.
Shensheng Zhao +5 more
wiley +1 more source
Robust Adaptive Beamforming against Signal Steering Vector Mismatch and Jammer Motion
International Journal of Antennas and Propagation, 2015 Since adaptive beamformer suffers from output performance degradation in the presence of interference nonstationarity and signal steering vector mismatch, a novel robust null broadening adaptive beamforming is proposed. The proposed method is realized by
Xiaojun Mao +4 more
doaj +1 more source
GABAergic modulation of beta power enhances motor adaptation in frontotemporal lobar degeneration
Alzheimer's &Dementia, EarlyView.Abstract INTRODUCTION We examined how abnormal prefrontal neurophysiology and changes in gamma‐aminobutyric acid‐ergic (GABAergic) neurotransmission contribute to behavioral impairments in disorders associated with frontotemporal lobar degeneration (FTLD). METHODS We recorded magnetoencephalography during an adaptive visuomotor task from 11 people with
Laura E. Hughes +11 more
wiley +1 more source
Butterfly Neural Filter Applied to Beamforming
IEEE Access, 2019 The butterfly neural beamformer (NB-Butterfly) is a new adaptive multiple-antenna spatial neural filter inspired on the neural butterfly equalizer (NE-Butterfly), a filter intended to equalize any channel that has real or complex taps, whether linear or ...
Tiago F. B. de Sousa +1 more
doaj +1 more source