Seismic Signal Compression Using Nonparametric Bayesian Dictionary Learning via Clustering
Abstract
:1. Introduction
2. Seismic Signal Compression Based on Offline Dictionary Learning
3. Seismic Signal Compression Using Nonparametric Bayesian Dictionary Learning via Clustering
3.1. Online Training
- (1)
- Feature dimension reduction by principal component analysis (PCA)
- (2)
- Clustering via MMNB
- (a)
- E step:
- (b)
- M step:
- (3)
- Dictionary learning via BPFA
Algorithm 1: Cluster Merging |
|
3.2. Online Testing
- (1)
- Online clustering and sparse representation
- (2)
- Quantization and entropy coding
Algorithm 2: Online Training Algorithm Based on MMNB and BPFA |
|
Algorithm 3: Online Testing Algorithm Based on MMNB and BPFA |
|
3.3. Performance Analysis
4. Experimental Results
4.1. Clustering Experiment
4.2. Dictionary Learning Experiment
4.3. Comparison of Compression Performance
5. Conclusions
Supplementary Materials
Supplementary File 1Acknowledgments
Author Contributions
Conflicts of Interest
References
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Training Data | 1 | 2 | 3 | 4 | 5 | 6 |
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MMNB |
Training Data | 1 | 2 | 3 | 4 | 5 | 6 |
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MMNB |
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Tian, X.; Li, S. Seismic Signal Compression Using Nonparametric Bayesian Dictionary Learning via Clustering. Algorithms 2017, 10, 65. https://doi.org/10.3390/a10020065
Tian X, Li S. Seismic Signal Compression Using Nonparametric Bayesian Dictionary Learning via Clustering. Algorithms. 2017; 10(2):65. https://doi.org/10.3390/a10020065
Chicago/Turabian StyleTian, Xin, and Song Li. 2017. "Seismic Signal Compression Using Nonparametric Bayesian Dictionary Learning via Clustering" Algorithms 10, no. 2: 65. https://doi.org/10.3390/a10020065