13 papers · ranked by Valyu relevance
Yanping Cui, Xiaoxu He, Zhe Wu, Qiang Zhang + 2 more
Highlights What are the main findings?1. A joint denoising framework (ICFO-SVMD-improved wavelet thresholding) is proposed which adaptively optimizes SVMD parameters and sub-band thresholds for nonlinear, non-stationary vibration signals. 2. Simulation and experimental results on bearing and gearbox vibration data show…
Yuanfang Zhang, Kaimin Yu, Chufeng Huang, Ruiting Qu + 6 more
This paper proposes an adaptive layer-dependent threshold function (ALDTF) for denoising electrocardiogram (ECG) and multimode optical fiber-based cardiopulmonary signals. Based on wavelet transform, the method employs a layer-dependent threshold function strategy that utilizes the non-zero periodic peak (NZOPP) of the…
Jing Zhao, Longhui Chen, Hongyin Yang, Zhuo Hu + 3 more
Highlights A novel improved wavelet threshold function is proposed for denoising deformation monitoring data, addressing the discontinuity of hard thresholding and the constant bias of soft thresholding. What are the main findings?1. Effective elimination of noise from metro deep excavation monitoring data is achieved…
Mohsin Hossain, Mohammad Khairul Islam, Machbah Uddin, Farah Jahan + 2 more
Fungal infections are an increasing risk to human health. They can pose a threat to life and cause a variety of health problems. The traditional diagnosis of fungal infections is challenging due to several reasons, such as the lack of clinical mycologists, costly procedures, a high time commitment, and the need for…
Junyang Zhao, Han Yu, Zhili Zhang, Yaru Li + 4 more
To address the issues of insufficient robustness, large depth recovery errors, and poor scene adaptability currently present in the initialisation phase of event-based stereo visual inertial SLAM systems, we propose a global BA initialisation method based on an adaptive threshold robust kernel function, ES-ATRK. The…
Junyoung Park, Neo Kok, Irina Gaynanova
Wearable devices, such as actigraphy monitors and continuous glucose monitors (CGMs), capture high-frequency data, which are often summarized by the percentages of time spent within fixed thresholds. For example, actigraphy data are categorized into sedentary, light, and moderate-to-vigorous activity, while CGM data…
Justin M. Aronoff, Jordan Deutsch, Josephine R. LaPapa, Karla Rodriguez + 1 more
The detection and discrimination of interaural time differences (ITDs) underpin many binaural abilities. Obtaining precise “threshold”-ITDs is, however, often quite time consuming. This study investigated the use of a rapid, descending series procedure to estimate threshold-ITDs. The procedure involves beginning with a…
Adrien Chopin, Martin Szinte, Angelo Arleo, Denis Sheynikhovich
Threshold estimation plays a crucial role in modern cognitive science. Numerous psychophysical methods exist to quickly estimate key psychometric function parameters, like thresholds. Using Monte Carlo simulations of 60 to 120 trials, we compare stimulus selection methods in their ability to estimate thresholds. We…
Paul Kelber, Rolf Ulrich
Fig. [Fig1] shows the psychometric functions for intramodal and intermodal stimulation pooled across all 20 sessions for each subject in Experiment [Sec2]. For every subject, the two psychometric functions were noticeably further apart for intermodal stimuli than for intramodal stimuli. This was statistically…
Authors not listed
Goal: Existing beta burst detection algorithms for closed-loop deep brain stimulation (DBS) are computationally complex, limiting their use in implantable devices. We aimed to develop an improved beta burst extraction algorithm for chip-based DBS devices with real-time model updating. Methods: Building on an…
Simrandeep Singh, Harbinder Singh, Seyed Jaleleddin Mousavirad, Diego Oliva + 2 more
Image thresholding is one of the fastest and easiest approach for image segmentation and serves as a preprocessing step in computer vision and image processing applications, such as surveillance, image perception, scene understanding, artificial intelligence, augmented reality, biomedical imaging, remote sensing, image…
William B. Salloom, Hari Bharadwaj, Elizabeth A. Strickland
Purpose Measures of the human medial olivocochlear reflex (MOCR) typically rely on long duration (> 100 ms) or continuously presented broadband elicitors. MOCR gain reduction measured by otoacoustic emissions (OAE) exhibits multiple time constants, including in the hundreds of milliseconds, when elicited by broadband…
Fadal Abdullah Ali Aldhufairi
A new framework for a family of LTED with a free baseline distribution provides efficiency to manage complex data. The induced model outperforms existing distribution models by better capturing data features such as heavy tails, skewness, and multimodality. The development is supported by a rigorous theoretical…