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    • School of Engineering and Applied Science, Aston University

      B4 7ET Birmingham

      United Kingdom

    19962019

    Research output per year

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    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.

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    Research Output

  • 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 journalArticle

    Open Access
    File
  • 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 journalArticle

    Open Access
    File
  • Wavelet Based Dictionaries for Dimensionality Reduction of ECG Signals

    Rebollo-Neira, L. & Cerna, D., 1 Sep 2019, In : Biomedical Signal Processing and Control. 54, 101593.

    Research output: Contribution to journalArticle

    Open Access
    File
  • A competitive scheme for storing sparse representation of X-Ray medical images

    Rebollo-Neira, L. E., 16 Aug 2018, In : PLoS ONE. 13, 8, 15 p., e0201455.

    Research output: Contribution to journalArticle

    Open Access
    File
  • Thesis

    Sparse image approximation

    Author: Bibi, S., 23 Jan 2017

    Supervisor: Rebollo-Neira, L. E. (Supervisor)

    Student thesis: Master's ThesisMaster of Science (by Research)

    File

    Sparse image representation with encryption

    Author: Bowley, J., 29 Nov 2013

    Supervisor: Rebollo-Neira, L. E. (Supervisor)

    Student thesis: Doctoral ThesisDoctor of Philosophy

    File