Mahmoud Nazzal
Title
Cited by
Cited by
Year
Wavelet domain dictionary learning-based single image superresolution
M Nazzal, H Ozkaramanli
Signal, Image and Video Processing 9 (7), 1491-1501, 2015
322015
Image super-resolution via sparse representation over multiple learned dictionaries based on edge sharpness
F Yeganli, M Nazzal, M Unal, H Ozkaramanli
Signal, Image and Video Processing 10 (3), 535-542, 2016
202016
Image super-resolution via sparse representation over multiple learned dictionaries based on edge sharpness and gradient phase angle
F Yeganli, M Nazzal, H Ozkaramanli
Signal, Image and Video Processing 9 (1), 285-293, 2015
172015
Single image super resolution based on sparse representation via directionally structured dictionaries
F Farhadifard, E Abar, M Nazzal, H Ozkaramanh
2014 22nd Signal Processing and Communications Applications Conference (SIU …, 2014
102014
Selective super-resolution via sparse representations of sharp image patches using multiple dictionaries and bicubic interpolation
F Yeganli, M Nazzal, H Ozkaramanli
2015 23nd Signal Processing and Communications Applications Conference (SIU …, 2015
92015
Image super-resolution via sparse representation over coupled dictionary learning based on patch sharpness
F Yeganli, M Nazzal, M Unal, H Ozkaramanli
2014 European Modelling Symposium, 203-208, 2014
92014
Primary user emulation and jamming attack detection in cognitive radio via sparse coding
HM Furqan, MA Aygül, M Nazzal, H Arslan
EURASIP Journal on Wireless Communications and Networking 2020 (1), 1-19, 2020
72020
Super-resolution using multiple structured dictionaries based on the gradient operator and bicubic interpolation
F Yeganli, M Nazzal, H Ozkaramanli
2016 24th Signal Processing and Communication Application Conference (SIU …, 2016
72016
Super-resolution using multiple structured dictionaries based on the gradient operator and bicubic interpolation
F Yeganli, M Nazzal, H Ozkaramanli
2016 24th Signal Processing and Communication Application Conference (SIU …, 2016
72016
Exploiting sparsity recovery for compressive spectrum sensing: A machine learning approach
M Nazzal, AR Ekti, A Görçin, H Arslan
IEEE Access 7, 126098-126110, 2019
62019
Improved single image super-resolution using sparsity and structured dictionary learning in wavelet domain
M Nazzal, H Ozkaramanli
2013 21st Signal Processing and Communications Applications Conference (SIU …, 2013
62013
A Strategy for Residual Component-Based Multiple Structured Dictionary Learning
M Nazzal, F Yeganli, H Ozkaramanli
IEEE Signal Processing Letters 22 (11), 2059-2063, 2015
52015
Spectrum Occupancy Prediction Exploiting Time and Frequency Correlations Through 2D-LSTM
MA Aygül, M Nazzal, AR Ekti, A Görçin, DB da Costa, HF Ateş, H Arslan
2020 IEEE 91st Vehicular Technology Conference (VTC2020-Spring), 1-5, 2020
42020
Dictionary Learning-Based Beamspace Channel Estimation in Millimeter-Wave Massive MIMO Systems with a Lens Antenna Array
M Nazzal, MA Aygül, A Görçin, H Arslan
2019 15th International Wireless Communications & Mobile Computing …, 2019
42019
Single Image Super-Resolution via Sparse Representation over Directionally Structured Dictionaries Based on the Patch Gradient Phase Angle
M Nazzal, F Yeganli, H Ozkaramanli
2014 European Modelling Symposium, 209-214, 2014
42014
Channel modeling in 5G and beyond
M Nazzal, MA Aygül, H Arslan
Flexible and Cognitive Radio Access Technologies for 5G and Beyond, 2020
32020
Single image superresolution using sparsity and dictionary learning in wavelet domain
M Nazzal, H Özkaramanli
2012 20th Signal Processing and Communications Applications Conference (SIU …, 2012
32012
Efficient Spectrum Occupancy Prediction Exploiting Multidimensional Correlations through Composite 2D-LSTM Models
MA Aygül, M Nazzal, Mİ Sağlam, DB da Costa, HF Ateş, H Arslan
Sensors 21 (1), 135, 2021
22021
Variable patch size sparse representation over learned dictionaries
M Nazzal, H Ozkaramanli
2014 22nd Signal Processing and Communications Applications Conference (SIU …, 2014
22014
Deep learning-based optimal RIS interaction exploiting previously sampled channel correlations
MA Aygül, M Nazzal, H Arslan
2021 IEEE Wireless Communications and Networking Conference (WCNC), 1-6, 2021
12021
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Articles 1–20