Results 51 to 60 of about 1,353 (157)

Mainlobe Jamming Suppression Method for Distributed Array Radar Based on Variational Sparse Bayesian Learning Jamming Estimation and Null Broadening Range‐Angle Beamforming

IET Radar, Sonar &Navigation, Volume 20, Issue 1, January/December 2026.
This paper proposes a mainlobe jamming suppression method for DAR based on variational sparse Bayesian learning (SBL) jamming estimation and range‐angle two‐dimensional null broadening beamforming. To decouple the range and angle parameters in the near‐field steering vector model, a variational grid optimisation nonuniform sparse recovery dictionary is
Bowen Han, Jiawei Li, Xiaopeng Yang, Xiaodong Qu, Quanhua Liu   +4 more
wiley   +1 more source

Compressive TDOA Estimation Method Based on Amplitude Phase Clustering in Time‐Frequency Domain

IET Signal Processing, Volume 2026, Issue 1, 2026.
In the field of signal processing, modulation signals, including phase shift keying (PSK) and quadrature amplitude modulation (QAM), can significantly enhance the signal‐to‐noise ratio (SNR) through aliasing transmission following clustering and sorting.
Yang Jiao, Changxiong Xia, Jingyu Zhai, Tianyi Xing, Qun Wan, Lyudmila Mihaylova   +5 more
wiley   +1 more source

Safety, Tolerability, and Pharmacokinetics of Single Doses of ABBV‐916, an Anti‐Amyloid Antibody, in Healthy Participants

Clinical and Translational Science, Volume 19, Issue 1, January 2026.
ABSTRACT Amyloid‐beta (Aβ) plaque brain clearance is one of the promising disease‐modifying treatment approaches to slow cognitive decline in Alzheimer's disease (AD). ABBV‐916, an anti‐amyloid antibody, was being developed as an early AD disease‐modifying treatment.
Sagar S. Bachhav, Hana Florian, Joey Boiser, Yamin Wang, Dee‐Dee Shiller, Ulrike Graab, Shau Yu Lynch, Ole Graff, Hao Xiong   +8 more
wiley   +1 more source

Development of a computational tool for sEMG decomposition

Tạp chí Khoa học và Công nghệ
Motor unit decomposition from HD-sEMG (high density surface electromyography) provides valuable information for reviewing the neuromuscular system. The purpose of this study was to implement and validate the framework of the convolutional blind source ...
Pham Nam Son, Tran Ngoc Dung
doaj   +1 more source

Human brain imaging with high‐density electroencephalography: Techniques and applications

The Journal of Physiology, Volume 604, Issue 2, Page 783-812, 15 January 2026.
Abstract figure legend Recent technological advances have elevated high‐density electroencephalography (hdEEG) to the status of a reliable neuroimaging tool. This technique measures scalp potentials with high temporal resolution, which permits the non‐invasive detection and analysis of neural oscillations.
Marco Marino, Dante Mantini
wiley   +1 more source

CDMA wireless system with blind multiuser detector

Journal of Telecommunications and Information Technology, 2006
In this paper we present an approach capable of countering the presence of multiple access interference (MAI) in code division multiple access (CDMA) channels.
Wai Yie Leon, John Homer
doaj   +1 more source

LCS: A learnlet-based sparse framework for blind source separation

Astronomy & Astrophysics
Blind source separation (BSS) plays a pivotal role in modern astrophysics by enabling the extraction of scientifically meaningful signals from multi-frequency observations.
Bonjean V., Gkogkou A., Starck J.-L., Tsakalides P.   +3 more
doaj   +1 more source

Blind Source Separation Combining Independent Component Analysis and Beamforming

EURASIP Journal on Advances in Signal Processing, 2003
We describe a new method of blind source separation (BSS) on a microphone array combining subband independent component analysis (ICA) and beamforming. The proposed array system consists of the following three sections: (1) subband ICA-based BSS section
Kurita Satoshi, Takeda Kazuya, Itakura Fumitada, Saruwatari Hiroshi, Nishikawa Tsuyoki, Shikano Kiyohiro   +5 more
doaj   +1 more source

An Extraction Method of Weak Low-Frequency Magnetic Communication Signals Based on Multisensor

Journal of Electrical and Computer Engineering, 2015
It is a technical challenge to effectively remove the influence of magnetic noise from the vicinity of the receiving sensors on low-frequency magnetic communication. The traditional denoising methods are difficult to extract high-quality original signals
Chao Huang, Xin Xu, Dunge Liu, Wanhua Zhu, Xiaojuan Zhang, Guangyou Fang   +5 more
doaj   +1 more source

A Novel Damage Detection Algorithm using Time-Series Analysis-Based Blind Source Separation

Shock and Vibration, 2013
In this paper, a novel damage detection algorithm is developed based on blind source separation in conjunction with time-series analysis. Blind source separation (BSS), is a powerful signal processing tool that is used to identify the modal responses and
A. Sadhu, B. Hazra
doaj   +1 more source