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**36**.

## Article

Cerna, Dana and Rebollo-Neira, Laura
(2021).
Construction of wavelet dictionaries for ECG modeling.
*MethodsX*, 8
,

Chagnon, Johan and Rebollo-Neira, Laura
(2020).
Mixed-transform based codec for 2D compression of ECG signals.
*Biomedical Signal Processing and Control*, 62
,

Rebollo-Neira, Laura, Rozlovznik, Miroslav and Sasmal, Pradip
(2020).
Analysis of the Self Projected Matching Pursuit Algorithm.
*Journal of The Franklin Institute*, 357
(13),
pp. 8980-8994.

Rebollo-Neira, Laura and Plastino, Angel
(2019).
A dedicated methodology for irreversible compression of Gravitational Waves Sound with high quality reconstruction.
*Physica A: Statistical Mechanics and its Applications*, 535
,

Rebollo-Neira, Laura and Cerna, Dana
(2019).
Wavelet Based Dictionaries for Dimensionality Reduction of ECG Signals.
*Biomedical Signal Processing and Control*, 54
,

Rebollo-Neira, Laura and Whitehouse, Daniel
(2019).
Sparse Representation of 3D Images for Piecewise Dimensionality Reduction with High Quality Reconstruction.
*Array*, 1-2
,

Rebollo-Neira, Laura E
(2019).
Effective high compression of ECG signals at low level distortion.
*Scientific Reports*, 9
(1),

Rebollo-Neira, Laura E
(2018).
A competitive scheme for storing sparse representation of X-Ray medical images.
*PLoS ONE*, 13
(8),

Rebollo-Neira, Laura and Sanchez, Ivandro
(2018).
Simple scheme for compressing sparse representation of melodic music.
*Electronics letters*, 54
(3),
171 - 173.

Rebollo-neira, Laura and Plastino, A.
(2017).
Sparse representation of Gravitational Sound.
*Journal of Sound and Vibration*, 417
,
pp. 306-314.

Rebollo-Neira, Laura
(2017).
Effective sparse representation of X-Ray medical images.
*International Journal for Numerical Methods in Biomedical Engineering*, 33
(12),

Rebollo-Neira, Laura and Aggarwal, Gagan
(2016).
A dedicated greedy pursuit algorithm for sparse spectral representation of music sound.
*Journal of the Acoustical Society of America*, 140
(4),
pp. 2933-2943.

Rebollo-Neira, Laura
(2016).
Cooperative greedy pursuit strategies for sparse signal representation by partitioning.
*Signal processing*, 125
,
pp. 365-375.

Rebollo-Neira, Laura, MacIoł, Ryszard and Bibi, Shabnam
(2013).
Hierarchized block wise image approximation by greedy pursuit strategies.
*IEEE Signal Processing Letters*, 20
(12),
pp. 1175-1178.

Rebollo-Neira, Laura and Bowley, James
(2013).
Sparse representation of astronomical images.
*Journal of the Optical Society of America A*, 30
(4),
pp. 758-768.

Rebollo-Neira, Laura, Bowley, James, Constantinides, Anthony G. and Plastino, A.
(2012).
Self-contained encrypted image folding.
*Physica A*, 391
(23),
pp. 5858-5870.

Bowley, James and Rebollo-neira, Laura
(2011).
Sparsity and “Something Else”: An Approach to Encrypted Image Folding.
*IEEE Signal Processing Letters*, 18
(3),
pp. 189-192.

Rebollo-neira, Laura and Xu, Zhiqiang
(2010).
Sparse signal representation by adaptive non-uniform B-spline dictionaries on a compact interval.
*Signal processing*, 90
(7),
pp. 2308-2313.

Xu, Zhiqiang, Rebollo - Neira, Laura and Plastino, A.
(2010).
Subspace modelling for structured noise suppression.
*Physica A*, 389
(10),
pp. 2030-2035.

Rebollo-neira, Laura and Plastino, A.
(2009).
Nonlinear non-extensive approach for identification of structured information.
*Physica A*, 388
(22),
pp. 4703-4712.

Rebollo-neira, Laura
(2009).
Measurements design and phenomena discrimination.
*Journal of Physics A: Mathematical and Theoretical*, 42
(16),

Andrle, Miroslav and Rebollo-neira, Laura
(2008).
From cardinal spline wavelet bases to highly coherent dictionaries.
*Journal of Physics A: Mathematical and Theoretical*, 41
(17),

Rebollo-Neira, Laura
(2007).
Oblique matching pursuit.
*IEEE Signal Processing Letters*, 14
(10),
pp. 703-706.

Rebollo-Neira, Laura
(2007).
Constructive updating/downdating of oblique projectors:a generalization of the Gram-Schmidt process.
*Journal of Physics A: Mathematical and Theoretical*, 40
(24),
pp. 6381-6394.

Rebollo-Neira, L. and Plastino, A.
(2006).
Statistical distribution, host for encrypted information.
*Physica A*, 359
,
pp. 213-221.

Rebollo-Neira, L. and Jain, S.
(2005).
On the truncation of the harmonic oscillator wavepacket.
*Journal of Physics A: Mathematical and General*, 38
(17),

Andrle, Miroslav, Rebollo-Neira, Laura and Sagianos, Evangelos
(2004).
Backward-optimized orthogonal matching pursuit approach.
*IEEE Signal Processing Letters*, 11
(9),
pp. 705-708.

Rebollo-Neira, L. and Plastino, A.
(2004).
Constructive approximations to the q=1/2 maximum entropy distribution from redundant and noisy data.
*Physical Review E*, 70
(2 1),

Rebollo-Neira, L. and Plastino, A.
(2002).
Recursive approach for constructing the q = 1/2 maximum entropy distribution from redundant data.
*Physical Review E*, 66
(3),

Rebollo-Neira, Laura and Lowe, David
(2002).
Optimized orthogonal matching pursuit approach.
*IEEE Signal Processing Letters*, 9
(4),
pp. 137-140.

Rebollo - Neira, Laura, Plastino, A. and Fernandez-Rubio, J.
(1998).
A non-extensive maximum entropy based regularization method for bad conditioned inverse problems.
*Physica A*, 261
(3-4),
pp. 555-568.

Rebollo - Neira, Laura, Plastino, A. and Fernandez-Rubio, J.
(1998).
On the q=1/2 non-extensive maximum entropy distribution.
*Physica A*, 258
(3-4),
pp. 458-465.

Rebollo - Neira, Laura, Constantinides, Anthony G. and Stathaki, Tania
(1998).
Signal representation for compression and noise reduction through frame-based wavelets.
*IEEE Transactions on Signal Processing*, 46
(3),
pp. 587-597.

Rebollo-Neira, L., Fernandez-Rubio, J. and Plastino, A.
(1997).
Frames:a maximum entropy statistical estimate of the inverse problem.
*Journal of Mathematical Physics*, 38
(9),
pp. 4863-4871.

Rebollo Neira, L. and Constantinides, A.G.
(1996).
Power spectrum estimation from values of noisy autocorrelations.
*Signal processing*, 50
(3),
pp. 223-231.

## Book Section

Lamichhane, Bishnu and Rebollo - Neira, Laura
(2008).
*Projection and interpolation based techniques for structured and impulsive noise filtering.*
IN: New Signal Processing Research.
Maeda, Takumi (ed.)
Nova science.

**Sat Dec 3 03:40:57 2022 GMT**.