Seismic Signal Compression Using Nonparametric Bayesian Dictionary Learning via Clustering

Seismic Signal Compression Using Nonparametric Bayesian Dictionary Learning via Clustering

We introduce a seismic signal compression method based on nonparametric Bayesian dictionary learning method via clustering. The seismic data is compressed patch by patch, and the dictionary is learned online. Clustering is introduced for dictionary learning. A set of dictionaries could be generated,...

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Bibliographic Details
Main Authors: Xin Tian, Song Li
Format: Article
Language:English
Published: MDPI AG 2017-06-01
Series:Algorithms
Subjects:
seismic signal compression
nonparametric bayesian dictionary learning
clustering
sparse representation
Online Access:http://www.mdpi.com/1999-4893/10/2/65
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spelling doaj-764709a8e0254bb48eb1354ad07918492020-11-24T21:51:20ZengMDPI AGAlgorithms1999-48932017-06-011026510.3390/a10020065a10020065Seismic Signal Compression Using Nonparametric Bayesian Dictionary Learning via ClusteringXin Tian0Song Li1Electronic Information School, Wuhan University, Wuhan 430072, ChinaElectronic Information School, Wuhan University, Wuhan 430072, ChinaWe introduce a seismic signal compression method based on nonparametric Bayesian dictionary learning method via clustering. The seismic data is compressed patch by patch, and the dictionary is learned online. Clustering is introduced for dictionary learning. A set of dictionaries could be generated, and each dictionary is used for one cluster’s sparse coding. In this way, the signals in one cluster could be well represented by their corresponding dictionaries. A nonparametric Bayesian dictionary learning method is used to learn the dictionaries, which naturally infers an appropriate dictionary size for each cluster. A uniform quantizer and an adaptive arithmetic coding algorithm are adopted to code the sparse coefficients. With comparisons to other state-of-the art approaches, the effectiveness of the proposed method could be validated in the experiments.http://www.mdpi.com/1999-4893/10/2/65seismic signal compressionnonparametric bayesian dictionary learningclusteringsparse representation
collection DOAJ
language English
format Article
sources DOAJ
author Xin Tian
Song Li
spellingShingle Xin Tian
Song Li
Seismic Signal Compression Using Nonparametric Bayesian Dictionary Learning via Clustering
Algorithms
seismic signal compression
nonparametric bayesian dictionary learning
clustering
sparse representation
author_facet Xin Tian
Song Li
author_sort Xin Tian
title Seismic Signal Compression Using Nonparametric Bayesian Dictionary Learning via Clustering
title_short Seismic Signal Compression Using Nonparametric Bayesian Dictionary Learning via Clustering
title_full Seismic Signal Compression Using Nonparametric Bayesian Dictionary Learning via Clustering
title_fullStr Seismic Signal Compression Using Nonparametric Bayesian Dictionary Learning via Clustering
title_full_unstemmed Seismic Signal Compression Using Nonparametric Bayesian Dictionary Learning via Clustering
title_sort seismic signal compression using nonparametric bayesian dictionary learning via clustering
publisher MDPI AG
series Algorithms
issn 1999-4893
publishDate 2017-06-01
description We introduce a seismic signal compression method based on nonparametric Bayesian dictionary learning method via clustering. The seismic data is compressed patch by patch, and the dictionary is learned online. Clustering is introduced for dictionary learning. A set of dictionaries could be generated, and each dictionary is used for one cluster’s sparse coding. In this way, the signals in one cluster could be well represented by their corresponding dictionaries. A nonparametric Bayesian dictionary learning method is used to learn the dictionaries, which naturally infers an appropriate dictionary size for each cluster. A uniform quantizer and an adaptive arithmetic coding algorithm are adopted to code the sparse coefficients. With comparisons to other state-of-the art approaches, the effectiveness of the proposed method could be validated in the experiments.
topic seismic signal compression
nonparametric bayesian dictionary learning
clustering
sparse representation
url http://www.mdpi.com/1999-4893/10/2/65
work_keys_str_mv AT xintian seismicsignalcompressionusingnonparametricbayesiandictionarylearningviaclustering
AT songli seismicsignalcompressionusingnonparametricbayesiandictionarylearningviaclustering
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