Results 51 to 60 of about 1,650,715 (355)

Impact of Phase Noise on Range Estimation Accuracy in Harmonic FMCW Radar Systems

open access: yesIEEE Access
This paper investigates the impact of phase noise on range estimation accuracy in harmonic Frequency-Modulated Continuous-Wave (FMCW) radar systems.
Ahmed El-Awamry   +3 more
doaj   +1 more source

An Event Recognition Method for Φ-OTDR Sensing System Based on Deep Learning

open access: yesSensors, 2019
Phase-sensitive optical time domain reflectometer (Φ-OTDR) based distributed optical fiber sensing system has been widely used in many fields such as long range pipeline pre-warning, perimeter security and structure health monitoring.
Yi Shi, Yuanye Wang, Lei Zhao, Zhun Fan
doaj   +1 more source

Validation of IMU-based gait event detection during curved walking and turning in older adults and Parkinson’s Disease patients

open access: yesJournal of NeuroEngineering and Rehabilitation, 2021
Background Identification of individual gait events is essential for clinical gait analysis, because it can be used for diagnostic purposes or tracking disease progression in neurological diseases such as Parkinson’s disease.
Robbin Romijnders   +5 more
doaj   +1 more source

Processing Chain for Localization of Magnetoelectric Sensors in Real Time

open access: yesSensors, 2021
The knowledge of the exact position and orientation of a sensor with respect to a source (distribution) is essential for the correct solution of inverse problems.
Christin Bald, Gerhard Schmidt
doaj   +1 more source

Cyclic LTI systems in digital signal processing [PDF]

open access: yes, 1999
Cyclic signal processing refers to situations where all the time indices are interpreted modulo some integer L. In such cases, the frequency domain is defined as a uniform discrete grid (as in L-point DFT). This offers more freedom in theoretical as well
Kiraç, Ahmet, Vaidyanathan, P. P.
core  

Bridging the gap: Multi‐stakeholder perspectives of molecular diagnostics in oncology

open access: yesMolecular Oncology, EarlyView.
Although molecular diagnostics is transforming cancer care, implementing novel technologies remains challenging. This study identifies unmet needs and technology requirements through a two‐step stakeholder involvement. Liquid biopsies for monitoring applications and predictive biomarker testing emerge as key unmet needs. Technology requirements vary by
Jorine Arnouts   +8 more
wiley   +1 more source

Adenosine‐to‐inosine editing of miR‐200b‐3p is associated with the progression of high‐grade serous ovarian cancer

open access: yesMolecular Oncology, EarlyView.
A‐to‐I editing of miRNAs, particularly miR‐200b‐3p, contributes to HGSOC progression by enhancing cancer cell proliferation, migration and 3D growth. The edited form is linked to poorer patient survival and the identification of novel molecular targets.
Magdalena Niemira   +14 more
wiley   +1 more source

Predictors of response and rational combinations for the novel MCL‐1 inhibitor MIK665 in acute myeloid leukemia

open access: yesMolecular Oncology, EarlyView.
This study characterizes the responses of primary acute myeloid leukemia (AML) patient samples to the MCL‐1 inhibitor MIK665. The results revealed that monocytic differentiation is associated with MIK665 sensitivity. Conversely, elevated ABCB1 expression is a potential biomarker of resistance to the treatment, which can be overcome by the combination ...
Joseph Saad   +17 more
wiley   +1 more source

A New Method for Building Low-Density-Parity-Check Codes

open access: yesInternational Journal of Technology, 2019
This paper proposes a new method for building low-density-parity-check codes, exempt of cycle of length 4, based on a circulant permutation matrix, which needs very little memory for storage it in the encoder and a dual diagonal structure is applied ...
Tehami Mohammed Amine, Djebbari Ali
doaj   +1 more source

Twofold dynamic attention guided deep network and noise-aware mechanism for image denoising

open access: yesJournal of King Saud University: Computer and Information Sciences, 2023
Convolutional neural networks are given extensive attention towards noise removal due to their good performance over traditional denoising algorithms. With shallow conventional neural networks, the feature extraction ability is not profound.
Zihao Chen   +5 more
doaj   +1 more source

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