Research Output per year
Research Output per year
Personal profile
Research Interests
Mathematical Analysis and Methods with applicability to Signal Processing.
- Applied Harmonic Analysis.
- Sparse Representations.
- Non-Linear Approximations.
- Generalized Sampling and Projections.
- Non-orthogonal Wavelet and Gabor Expansions.
- Redundant Representations and Frame Theory.
- Mathematical Methods for Inverse Problems.
Teaching Activity
AM10RA Real Analysis
AM20CA Complex Analysis
AM30FA Further Analysis
Contact Details
Phone number: +44 (0)121 204 3647
Email: rebollol@aston.ac.uk
Room number: Main Building 313C
Education/Academic qualification
PhD
External positions
Reseach Fellow
Resash Fellow
Fingerprint
Dive into the research topics where Laura Rebollo-Neira is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
Research Output
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Analysis of the Self Projected Matching Pursuit Algorithm
Rebollo-Neira, L., Rozlovznik, M. & Sasmal, P., Sep 2020, In : Journal of The Franklin Institute. 357, 13, p. 8980-8994 15 p.Research output: Contribution to journal › Article › peer-review
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Mixed-transform based codec for 2D compression of ECG signals
Chagnon, J. & Rebollo-Neira, L., 1 Sep 2020, In : Biomedical Signal Processing and Control. 62, 102067.Research output: Contribution to journal › Article › peer-review
Open AccessFile -
A dedicated methodology for irreversible compression of Gravitational Waves Sound with high quality reconstruction.
Rebollo-Neira, L. & Plastino, A., 1 Dec 2019, In : Physica A: Statistical Mechanics and its Applications. 535, 122206.Research output: Contribution to journal › Article › peer-review
Open AccessFile -
Effective high compression of ECG signals at low level distortion
Rebollo-Neira, L. E., 14 Mar 2019, In : Scientific Reports. 9, 1, 4564 .Research output: Contribution to journal › Article › peer-review
Open AccessFile -
Sparse Representation of 3D Images for Piecewise Dimensionality Reduction with High Quality Reconstruction
Rebollo-Neira, L. & Whitehouse, D., 27 Jun 2019, In : Array .Research output: Contribution to journal › Article › peer-review
Open AccessFile
Datasets
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A competitive scheme for storing sparse representation of X-Ray medical images
Rebollo-Neira, L. (Creator), Aston Data Explorer, 26 Jul 2018
DOI: 10.17036/researchdata.aston.ac.uk.00000370, https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0201455 and 2 more links, http://www.nonlinear-approx.info/examples/node08.html, http://www.data-compression.info/Corpora/LukasCorpus/ (show fewer)
Dataset