This paper discusses approximate statistical estimates of limiting errors associated with single differential phase measurement of a time delay (phase difference) between two reflectors of the passive surface acoustic wave (SAW) sensor. The remote wireless measurement is provided at the ideal coherent receiver using the maximum likelihood function approach. Approximate estimates of the mean error, mean square error, estimate variance, and Cramér-Rao bound are derived along with the error probability to exceed a threshold in a wide range of signal-to-noise ratio (SNR) values. The von Mises/Tikhonov distribution is used as an approximation for the phase difference and differential phase diversity. Simulation of the random phase difference and limiting errors also is applied.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1109/tuffc.2005.1561634 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Posttraining Network Compression for 3D Medical Image Segmentation: Reducing Computational Efforts via Tucker Decomposition.
Radiol Artif Intell
January 2025
From the Department of Radiology, University Hospital, LMU Munich, Marchioninistr 15,81377 Munich, Germany (T.W., J.D., M.I.); Department of Statistics, LMU Munich, Munich, Germany (T.W., D.R.); and Munich Center for Machine Learning, Munich, Germany (T.W., J.D., D.R., M.I.).
Purpose To investigate whether the computational effort of 3D CT-based multiorgan segmentation with TotalSegmentator can be reduced via Tucker decomposition-based network compression. Materials and Methods In this retrospective study, Tucker decomposition was applied to the convolutional kernels of the TotalSegmentator model, an nnU-Net model trained on a comprehensive CT dataset for automatic segmentation of 117 anatomic structures. The proposed approach reduced the floating-point operations (FLOPs) and memory required during inference, offering an adjustable trade-off between computational efficiency and segmentation quality.
View Article and Find Full Text PDFCefiderocol AST in a real-life Klebsiella pneumoniae collection: challenges in the ATU range.
J Antimicrob Chemother
January 2025
Servicio de Microbiología, Hospital Universitario Ramón y Cajal and Instituto Ramón y Cajal de Investigación Sanitaria (IRYCIS), Carretera de Colmenar Km 9,1. Madrid 28034, Spain.
Objectives: FDC susceptibility testing is challenging as none of the commercial tests have been proven to accurately determine the susceptibility in the area of technical uncertainty (ATU). Here, we evaluated the performance of different FDC testing methods on Klebsiella pneumoniae isolates around this range.
Methods: A challenging collection of 104 K.
Artificial Intelligence-Driven Approaches to Managing Surgeon Fatigue and Improving Performance.
Cureus
December 2024
Surgery, Norfolk and Norwich University Hospital, Norwich, GBR.
Surgeon fatigue significantly affects cognitive and motor functions, increasing the risk of errors and adverse patient outcomes. Traditional fatigue management methods, such as structured breaks and duty-hour limits, are insufficient for real-time fatigue detection in high-stakes surgeries. With advancements in artificial intelligence (AI), there is growing potential for AI-driven technologies to address this issue through continuous monitoring and adaptive interventions.
View Article and Find Full Text PDFTools to improve discharge equity: Protocol for the pilot TIDE trial.
Contemp Clin Trials Commun
February 2025
Department of Family Medicine, Boston Medical Center, Boston University Chobanian and Avedisian School of Medicine, Boston, MA, USA.
Background: Written discharge instructions after hospitalization promote patient understanding and positive clinical outcomes. Despite the rising prevalence of patients with non-English language preference (NELP) in the U.S.
View Article and Find Full Text PDFValidity of A-Mode Ultrasound for Estimating Body Fat Percentage of Young Adult Athletes: A Multicomponent Model Study.
Med Sci Sports Exerc
January 2025
Kinesiology & Health Science, Utah State University, Logan, UT.
Purpose: This study compared %BFUS to %BF4C in young adult athletes.
Methods: University club sport athletes (86 women, 138 men) from a variety of teams participated. ADP, DXA, and bioimpedance spectroscopy were used to measure body volume, bone mineral content, and total body water, respectively, for the 4C model.
Want AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!