20132019
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Fingerprint Fingerprint is based on mining the text of the expert's scholarly documents to create an index of weighted terms, which defines the key subjects of each individual researcher.

Signal to noise ratio Engineering & Materials Science
kernel Mathematics
Bispectrum Mathematics
sea ice Earth & Environmental Sciences
Madden-Julian oscillation Earth & Environmental Sciences
Spatio-temporal Patterns Mathematics
Gravity waves Engineering & Materials Science
Time series Engineering & Materials Science

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Research Output 2013 2019

  • 9 Article
  • 5 Conference contribution

Denoising Gravitational Waves with Enhanced Deep Recurrent Denoising Auto-encoders

Shen, H., George, D., Huerta, E. A. & Zhao, Z., May 1 2019, 2019 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2019 - Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 3237-3241 5 p. 8683061. (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings; vol. 2019-May).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Gravity waves
Signal to noise ratio
Curricula
Time series
Topology

Geometric Invariants for Sparse Unknown View Tomography

Zehni, M., Huang, S., Dokmanic, I. & Zhao, Z., May 1 2019, 2019 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2019 - Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 5027-5031 5 p. 8682401. (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings; vol. 2019-May).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Tomography
Pipelines
Geometry

Predicting regional and pan-Arctic sea ice anomalies with kernel analog forecasting

Comeau, D., Giannakis, D., Zhao, Z. & Majda, A. J., May 1 2019, In : Climate Dynamics. 52, 9-10, p. 5507-5525 19 p.

Research output: Contribution to journalArticle

sea ice
anomaly
prediction
marginal ice zone
historical record

Spatiotemporal Pattern Extraction by Spectral Analysis of Vector-Valued Observables

Giannakis, D., Ourmazd, A., Slawinska, J. & Zhao, Z., Jan 1 2019, In : Journal of Nonlinear Science.

Research output: Contribution to journalArticle

Open Access
Spatio-temporal Patterns
Spectral Analysis
Spectrum analysis
kernel
Decompose

A Spectral Method for Stable Bispectrum Inversion with Application to Multireference Alignment

Chen, H., Zehni, M. & Zhao, Z., Jul 1 2018, In : IEEE Signal Processing Letters. 25, 7, p. 911-915 5 p.

Research output: Contribution to journalArticle

Bispectrum
Spectral Methods
Inversion
Alignment
Power spectrum