Investigation on the kurtosis filter and the derivation of convolutional sparse filter for impulsive signature enhancement
Sign Up to like & getrecommendations! Published in 2017 at "Journal of Sound and Vibration"
DOI: 10.1016/j.jsv.2016.10.005
Abstract: Abstract Minimum Entropy Deconvolution (MED) filter, which is a non-parametric approach for impulsive signature detection, has been widely studied recently. Although the merits of the MED filter are manifold, this method tends to over highlight… read more here.
Keywords: impulsive signature; med filter; filter; signature enhancement ... See more keywords
Two-Branch Convolutional Sparse Representation for Stereo Matching
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Access"
DOI: 10.1109/access.2021.3056137
Abstract: Supervised learning methods have been used to calculate the stereo matching cost in a lot of literature. These methods need to learn parameters from public datasets with ground truth disparity maps. Due to the heavy… read more here.
Keywords: stereo matching; two branch; stereo; branch convolutional ... See more keywords
Adaptive Seismic Single-Channel Deconvolution via Convolutional Sparse Coding Model
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2019.2945799
Abstract: Seismic deconvolution is a typical ill-posed inverse problem. The regularization technique in terms of different prior information is used for a unique and stable solution. Due to the difference between prior information and the actual… read more here.
Keywords: dictionary learning; sparse coding; csc dictionary; convolutional sparse ... See more keywords
Piano Transcription With Convolutional Sparse Lateral Inhibition
Sign Up to like & getrecommendations! Published in 2017 at "IEEE Signal Processing Letters"
DOI: 10.1109/lsp.2017.2666183
Abstract: This letter extends our prior work on context-dependent piano transcription to estimate the length of the notes in addition to their pitch and onset. This approach employs convolutional sparse coding along with lateral inhibition constraints… read more here.
Keywords: transcription; piano transcription; piano; convolutional sparse ... See more keywords
Efficient ADMM-Based Algorithms for Convolutional Sparse Coding
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Signal Processing Letters"
DOI: 10.1109/lsp.2021.3135196
Abstract: Convolutional sparse coding improves on the standard sparse approximation by incorporating a global shift-invariant model. The most efficient convolutional sparse coding methods are based on the alternating direction method of multipliers and the convolution theorem.… read more here.
Keywords: admm based; sparse coding; convolutional sparse; efficient admm ... See more keywords
Fast Convolutional Sparse Dictionary Learning Based on LocOMP and Its Application to Bearing Fault Detection
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Instrumentation and Measurement"
DOI: 10.1109/tim.2022.3193962
Abstract: Sparse representations based on convolutional sparse dictionary learning (CSDL) provide an excellent framework for extracting fault impulse response caused by bearing faults. In order to achieve fast dictionary learning, most CSDL-based fault diagnosis techniques recommend… read more here.
Keywords: convolutional sparse; method; fault; dictionary learning ... See more keywords
Adaptive ADMM for Dictionary Learning in Convolutional Sparse Representation
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Transactions on Image Processing"
DOI: 10.1109/tip.2019.2896541
Abstract: In this paper, we propose a novel approach to convolutional sparse representation with the aim of resolving the dictionary learning problem. The proposed method, referred to as the adaptive alternating direction method of multipliers (AADMM),… read more here.
Keywords: dictionary learning; admm dictionary; adaptive admm; sparse representation ... See more keywords
Convolutional Sparse Coding for Compressed Sensing CT Reconstruction
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Transactions on Medical Imaging"
DOI: 10.1109/tmi.2019.2906853
Abstract: Over the past few years, dictionary learning (DL)-based methods have been successfully used in various image reconstruction problems. However, the traditional DL-based computed tomography (CT) reconstruction methods are patch-based and ignore the consistency of pixels… read more here.
Keywords: reconstruction; coding compressed; proposed methods; sparse coding ... See more keywords
Joint and Direct Optimization for Dictionary Learning in Convolutional Sparse Representation
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Transactions on Neural Networks and Learning Systems"
DOI: 10.1109/tnnls.2019.2906074
Abstract: Convolutional sparse coding (CSC) is a useful tool in many image and audio applications. Maximizing the performance of CSC requires that the dictionary used to store the features of signals can be learned from real… read more here.
Keywords: dictionary; optimization; convergence; dictionary learning ... See more keywords
Learning Convolutional Sparse Coding on Complex Domain for Interferometric Phase Restoration
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Neural Networks and Learning Systems"
DOI: 10.1109/tnnls.2020.2979546
Abstract: Interferometric phase restoration has been investigated for decades and most of the state-of-the-art methods have achieved promising performances for InSAR phase restoration. These methods generally follow the nonlocal filtering processing chain, aiming at circumventing the… read more here.
Keywords: phase restoration; sparse coding; interferometric phase; convolutional sparse ... See more keywords
Automated chest screening based on a hybrid model of transfer learning and convolutional sparse denoising autoencoder
Sign Up to like & getrecommendations! Published in 2018 at "BioMedical Engineering OnLine"
DOI: 10.1186/s12938-018-0496-2
Abstract: ObjectiveIn this paper, we aim to investigate the effect of computer-aided triage system, which is implemented for the health checkup of lung lesions involving tens of thousands of chest X-rays (CXRs) that are required for… read more here.
Keywords: denoising autoencoder; chest screening; convolutional sparse; model ... See more keywords