Results 51 to 60 of about 9,691 (222)

UWB joint TOA and DOA estimation [PDF]

2009 IEEE International Conference on Ultra-Wideband, 2009
This paper deals with the simultaneous estimation of Time of Arrival (TOA) and Direction of Arrival (DOA) in UWB systems considering multipath propagation. The estimation is performed in the frequency domain by computing a two dimensional power delay-angle spectrum based on the periodogram because of its low computational complexity.
LAGUNAS, Eva, Najar, Montse, Navarro, Monica   +2 more
openaire   +2 more sources

Population balance modeling and digital design of degree of agglomeration in industrial crystallization

AIChE Journal, EarlyView.
Abstract This study presents a coupled population balance model (PBM) for describing the degree‐of‐agglomeration (DoA) in crystallization by independently tracking total particle and agglomerate number densities. Applied to an industrial active pharmaceutical ingredient, the model outperformed bridge‐counting methods and accurately captured DoA trends ...
Yung‐Shun Kang, Hemalatha Kilari, Neda Nazemifard, C. Benjamin Renner, Yihui Yang, Charles Papageorgiou, Zoltan K. Nagy   +6 more
wiley   +1 more source

Direction-of-Arrival Estimation in Time-Modulated Linear Arrays Based on the MT-BCS Approach

International Journal of Antennas and Propagation, 2022
This article proposes a novel approach for the estimation of the direction-of-arrival (DoA) of multiple signals impinging on time-modulated arrays (TMAs).
Qing-He Zhang, En-Yu Zhang, Shi-Hui Zhang   +2 more
doaj   +1 more source

Efficiency of subspace-based DOA estimators [PDF]

Signal Processing, 2007
This paper addresses subspace-based direction of arrival (DOA) estimation and its purpose is to complement previously available theoretical results generally obtained for specific algorithms. We focus on asymptotically (in the number of measurements) minimum variance (AMV) estimators based on estimates of orthogonal projectors obtained from singular ...
Habti Abeida, Jean Pierre Delmas
openaire   +1 more source

Toward Predictable Nanomedicine: Current Forecasting Frameworks for Nanoparticle–Biology Interactions

Advanced Intelligent Discovery, EarlyView.
Predictive models successfully screen nanoparticles for toxicity and cellular uptake. Yet, complex biological dynamics and sparse, nonstandardized data limit their accuracy. The field urgently needs integrated artificial intelligence/machine learning, systems biology, and open‐access data protocols to bridge the gap between materials science and safe ...
Mariya L. Ivanova, Michael Nicholls, Nicola Russo, Gueorgui Mihaylov, Konstantin Nikolic   +4 more
wiley   +1 more source

A DOA estimation algorithm based on equalization-cancellation theory [PDF]

, 2010
Direction of arrival (DOA) estimation plays an important role in multi-channel (binaural) speech enhancement systems and auditory humanoid robots. A number of localization methods have been presented, however, most of them require a large array of ...
Li, Junfeng, Chau, Duc Thanh, Akagi, Masato   +2 more
core  

Angle of arrival estimation for broadband signals : a comparison

, 2013
This paper reviews and compares three different linear algebraic signal subspace techniques for angle of arrival estimation. These include a polynomial matrix approach to multiple signal classification (MUSIC), a parameterised spatial covariance matrix ...
Weiss, Stephan, S. Weiss, J.G. McWhirter, McWhirter, John G., S. Lambotharan, S. Redif, Lambotharan, Sangarapillai, M. Alrmah, Alrmah, Mohamed Abubaker, Redif, Soydan   +9 more
core   +1 more source

NoncovANM: Gridless DOA Estimation for LPDF System

, 2023
Direction of arrival (DOA) estimation is an important research in the area of array signal processing, and has been studied for decades. High resolution DOA estimation requires large array aperture, which leads to the increase of hardware cost.
Zhao, Yangying, Cao, Zhenxin, Chen, Peng, Wang, Xianbin   +3 more
core   +1 more source

The power of many: when genetics met yeasts and high‐throughput

Biological Reviews, EarlyView.
ABSTRACT In recent years, complex technological capabilities have evolved, driven by the need to solve complex and integrative biological questions through global analyses. New equipment allows the scaling up and automation of processes which previously were carried out on a very limited scale.
Víctor A. Tallada, Víctor Carranco
wiley   +1 more source

Research progress on the depth of anesthesia monitoring based on the electroencephalogram

Ibrain, Volume 11, Issue 1, Page 32-43, Spring 2025.
Electroencephalogram (EEG) can noninvasive, continuous, and real‐time monitor the state of brain electrical activity, and the monitoring of EEG can reflect changes in the depth of anesthesia (DOA). The development of artificial intelligence can enable anesthesiologists to extract, analyze, and quantify DOA from complex EEG data.
Xiaolan He, Tingting Li, Xiao Wang
wiley   +1 more source