Results 51 to 60 of about 20,110 (263)
DISTA-CSNet: Efficient Data Aware Deep Learning Model for CS MRI Recovery
IEEE AccessThis research paper explores the rising interest in utilising deep learning methods, specifically Convolution Neural Network (CNN), to improve the reconstruction of Compressively Sampled Magnetic Resonance Imaging (CS MRI) images from under-sampled data.
Hassaan Haider +4 more
doaj +1 more source
Remote Sensing, 2023 Frequency-diverse radar imaging is an emerging field that combines computational imaging with frequency-diverse techniques to interrogate the high-quality images of objects.
Zhenhua Wu +6 more
doaj +1 more source
Bridging between Soft and Hard Thresholding by Scaling
IEICE Transactions on Information and Systems, 2022 In this article, we developed and analyzed a thresholding method in which soft thresholding estimators are independently expanded by empirical scaling values. The scaling values have a common hyper-parameter that is an order of expansion of an ideal scaling value that achieves hard thresholding.
openaire +2 more sources
Laser‐Induced Graphene from Waste Almond Shells
Advanced Functional Materials, EarlyView.Almond shells, an abundant agricultural by‐product, are repurposed to create a fully bioderived almond shell/chitosan composite (ASC) degradable in soil. ASC is converted into laser‐induced graphene (LIG) by laser scribing and proposed as a substrate for transient electronics.
Yulia Steksova +9 more
wiley +1 more source
High-Fidelity OC-Seislet Stacking Method for Low-SNR Seismic Data
Applied SciencesSeismic stacking is a core technique in seismic data processing, aimed at enhancing the signal-to-noise ratio (SNR) of data by utilizing seismic data acquisition with multifold geometry.
Tang Peng +4 more
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Substrate Stress Relaxation Regulates Cell‐Mediated Assembly of Extracellular Matrix
Advanced Functional Materials, EarlyView.Silicone‐based viscoelastic substrates with tunable stress relaxation reveal how matrix mechanics regulates cellular mechanosensing and cell‐mediated matrix remodelling in the stiff regime. High stress relaxation promotes assembly of fibronectin fibril‐like structures, increased nuclear localization of YAP and formation of β1 integrin‐enriched ...
Jonah L. Voigt +2 more
wiley +1 more source
Implementation of Adaptive Wavelet Thresholding Denoising Algorithm Based on DSP
Journal of Measurement Science and Instrumentation, 2011 By utilizing the capability of high-speed computing,powerful real-time processing of TMS320F2812 DSP,wavelet thresholding denoising algorithm is realized based on Digital Signal Processors.Based on the multi-resolution analysis of wavelet transformation ...
Xue-feng ZHANG +3 more
doaj
Spatiotemporal Video Denoising Based on Adaptive Thresholding and Clustering
Discrete Dynamics in Nature and Society, 2017 In this paper we propose a novel video denoising method based on adaptive thresholding and K-means clustering. In the proposed method the adaptive thresholding is applied rather than the conventional hard-thresholding of the VBM3D method.
Ali Abdullah Yahya +4 more
doaj +1 more source
Empirical Mode Decomposition Based Soft-Thresholding
, 2008 Publication in the conference proceedings of EUSIPCO, Lausanne, Switzerland ...
Kopsinis, Yannis, McLaughlin, Steve
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Distributed soft thresholding for sparse signal recovery [PDF]
2013 IEEE Global Communications Conference (GLOBECOM), 2013 In this paper, we address the problem of distributed sparse recovery of signals acquired via compressed measurements in a sensor network. We propose a new class of distributed algorithms to solve Lasso regression problems, when the communication to a fusion center is not possible, e.g., due to communication cost or privacy reasons.
RAVAZZI, CHIARA +2 more
openaire +4 more sources