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,...
Main Authors: | Xin Tian, Song Li |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2017-06-01
|
Series: | Algorithms |
Subjects: | |
Online Access: | http://www.mdpi.com/1999-4893/10/2/65 |
Similar Items
-
Sparse Representations Optimization with Coupled Bayesian Dictionary and Dictionary Classifier for Efficient Classification
by: Muhammad Riaz-ud-din, et al.
Published: (2023-12-01) -
Bayesian Nonparametric Measurement of Factor Betas and Clustering with Application to Hedge Fund Returns
by: Urbi Garay, et al.
Published: (2016-03-01) -
Adaptive Multilayered Dictionary Learning for Compressive-Sensing-Based Image Reconstruction
by: Jun Fu, et al.
Published: (2019-01-01) -
A New Compression and Storage Method for High-Resolution SSP Data Based-on Dictionary Learning
by: Kaizhuang Yan, et al.
Published: (2022-08-01) -
Seismic Periodic Noise Attenuation Based on Sparse Representation Using a Noise Dictionary
by: Lixia Sun, et al.
Published: (2023-02-01)