Mahmoud Nazzal

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Single image superresolution using sparsity and dictionary learning in wavelet domain

Mahmoud Nazzal, Hüseyin Özkaramanli, 2012, 2012 20th Signal Processing and Communications Applications Conference (SIU).

Efficient Spectrum Occupancy Prediction Exploiting Multidimensional Correlations through Composite 2D-LSTM Models †

Daniel Benevides da Costa, Hüseyin Arslan, Mahmoud Nazzal, 2020, Sensors.

Single image super resolution based on sparse representation via directionally structured dictionaries

Mahmoud Nazzal, Fahime Farhadifard, Elham Abar, 2014, 2014 22nd Signal Processing and Communications Applications Conference (SIU).

Variable patch size sparse representation over learned dictionaries

Mahmoud Nazzal, Hüseyin Özkaramanli, Hüseyin Özkaramanli, 2014, 2014 22nd Signal Processing and Communications Applications Conference (SIU).

Structural Dictionary Learning and Sparse Representation with Signal and Image Processing Applications

Mahmoud Nazzal, 2015 .

Super-resolution using multiple structured dictionaries based on the gradient operator and bicubic interpolation

Mahmoud Nazzal, Hüseyin Özkaramanli, Faezeh Yeganli, 2016, 2016 24th Signal Processing and Communication Application Conference (SIU).

Image super-resolution via sparse representation over multiple learned dictionaries based on edge sharpness

Mahmoud Nazzal, Hüseyin Özkaramanli, Faezeh Yeganli, 2016, Signal Image Video Process..

Image Super-Resolution via Sparse Representation over Coupled Dictionary Learning Based on Patch Sharpness

Mahmoud Nazzal, Hüseyin Özkaramanli, Faezeh Yeganli, 2014, 2014 European Modelling Symposium.

Exploiting Sparsity Recovery for Compressive Spectrum Sensing: A Machine Learning Approach

Mahmoud Nazzal, Alí Riza Ektí, Alí Görçín, 2019, IEEE Access.

Dictionary Learning-Based Beamspace Channel Estimation in Millimeter-Wave Massive MIMO Systems with a Lens Antenna Array

Hüseyin Arslan, Mahmoud Nazzal, Ali Görçin, 2019, 2019 15th International Wireless Communications & Mobile Computing Conference (IWCMC).

Spectrum Occupancy Prediction Exploiting Time and Frequency Correlations Through 2D-LSTM

Daniel Benevides da Costa, Hüseyin Arslan, Mahmoud Nazzal, 2020, 2020 IEEE 91st Vehicular Technology Conference (VTC2020-Spring).

A Strategy for Residual Component-Based Multiple Structured Dictionary Learning

Mahmoud Nazzal, Hüseyin Özkaramanli, Faezeh Yeganli, 2015, IEEE Signal Processing Letters.

Single Image Super-Resolution via Sparse Representation over Directionally Structured Dictionaries Based on the Patch Gradient Phase Angle

Mahmoud Nazzal, Hüseyin Özkaramanli, Faezeh Yeganli, 2014, 2014 European Modelling Symposium.

Compressed Spectrum Sensing Using Sparse Recovery Convergence Patterns through Machine Learning Classification

Hüseyin Arslan, Mahmoud Nazzal, Ali Rıza Ekti, 2019, 2019 IEEE 30th Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC).

Improved single image super-resolution using sparsity and structured dictionary learning in wavelet domain

Mahmoud Nazzal, Hüseyin Özkaramanli, Hüseyin Özkaramanli, 2013, 2013 21st Signal Processing and Communications Applications Conference (SIU).

Improved dictionary learning by constrained re-training over residual components

Mahmoud Nazzal, Hüseyin Özkaramanli, Faezeh Yeganli, 2016, 2016 24th Signal Processing and Communication Application Conference (SIU).

Iterative Tap Pursuit for Channel Shortening Equalizer Design

Haji M. Furqan, Huseyin Arslan, Mahmoud Nazzal, 2018, 2018 7th International Conference on Computer and Communication Engineering (ICCCE).

FDD Massive MIMO Downlink Channel Estimation via Selective Sparse Coding over AoA/AoD Cluster Dictionaries

Hüseyin Arslan, Mahmoud Nazzal, Haji Muhammad Furqan, 2018, 2018 IEEE 29th Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC).

Wavelet domain dictionary learning-based single image superresolution

Mahmoud Nazzal, Hüseyin Özkaramanli, Hüseyin Özkaramanli, 2015, Signal Image Video Process..

Directionally-structured dictionary learning and sparse representation based on subspace projections

Mahmoud Nazzal, Hüseyin Özkaramanli, 2015, 2015 23nd Signal Processing and Communications Applications Conference (SIU).

Selective super-resolution via sparse representations of sharp image patches using multiple dictionaries and bicubic interpolation

Mahmoud Nazzal, Faezeh Yeganli, Hüseyin Özkaramanli, 2015, 2015 23nd Signal Processing and Communications Applications Conference (SIU).

Adversarial Attacks and Defenses for Social Network Text Processing Applications: Techniques, Challenges and Future Research Directions pdf

Firoj Alam, Izzat Alsmadi, Kashif Ahmad, 2021, ArXiv.

Sparse Coding with Enhanced Atom Selection for FDD Massive MIMO Channel Estimation

Hüseyin Arslan, Mahmoud Nazzal, Mehmet Ali Aygül, 2021, 2021 IEEE 94th Vehicular Technology Conference (VTC2021-Fall).

Image demosaicing by an improved alternating projections algorithm based on dual-tree complex wavelet transform

Mahmoud Nazzal, Huseyin Ozkaramanli, 2013, 2013 The International Conference on Technological Advances in Electrical, Electronics and Computer Engineering (TAEECE).