| Denoising of sparse images in impulsive disturbance environment I Stankoviæ, I Oroviæ, M Dakoviæ, S Stankoviæ Multimedia Tools and Applications 77, 5885-5905, 2018 | 32 | 2018 |
| Sparse reconstruction based on iterative TF domain filtering and Viterbi based IF estimation algorithm NA Khan, M Mohammadi, I Stankovic Signal Processing 166, 107260, 2020 | 23 | 2020 |
| On the reconstruction of nonsparse time-frequency signals with sparsity constraint from a reduced set of samples I Stankoviæ, C Ioana, M Dakoviæ Signal Processing 142, 480-484, 2018 | 22 | 2018 |
| On the errors in randomly sampled nonsparse signals reconstructed with a sparsity assumption L Stankoviæ, M Dakoviæ, I Stankoviæ, S Vujoviæ IEEE Geoscience and Remote Sensing Letters 14 (12), 2453-2456, 2017 | 19 | 2017 |
| Quantization in compressive sensing: A signal processing approach I Stankoviæ, M Brajoviæ, M Dakoviæ, C Ioana, L Stankoviæ IEEE Access 8, 50611-50625, 2020 | 17 | 2020 |
| Nonsparsity influence on the ISAR recovery from reduced data [Correspondence] L Stankovic, I Stankovic, M Dakovic IEEE Transactions on Aerospace and Electronic Systems 52 (6), 3065-3070, 2016 | 17 | 2016 |
| Image reconstruction from a reduced set of pixels using a simplified gradient algorithm I Stankoviæ, I Oroviæ, S Stankoviæ 2014 22nd Telecommunications Forum Telfor (TELFOR), 497-500, 2014 | 16 | 2014 |
| Error in the reconstruction of nonsparse images M Brajoviæ, I Stankoviæ, M Dakoviæ, C Ioana, L Stankoviæ Mathematical Problems in Engineering 2018, 1-10, 2018 | 12 | 2018 |
| Reconstruction error in nonuniformly sampled approximately sparse signals L Stankoviæ, M Brajoviæ, I Stankoviæ, C Ioana, M Dakoviæ IEEE Geoscience and Remote Sensing Letters 18 (1), 28-32, 2020 | 11 | 2020 |
| RANSAC-based signal denoising using compressive sensing L Stankoviæ, M Brajoviæ, I Stankoviæ, J Lerga, M Dakoviæ Circuits, systems, and signal processing 40, 3907-3928, 2021 | 10 | 2021 |
| Nonsparsity influence on the ISAR recovery from reduced data L Stankoviæ, I Stankoviæ, M Dakoviæ IEEE Trans. Aerosp. Electron. Syst. 52 (6), 3065-3070, 2016 | 10 | 2016 |
| Complex-valued binary compressive sensing I Stankovic, M Brajovic, M Dakovic, L Stankovic 2018 26th Telecommunications Forum (TELFOR), 1-4, 2018 | 9 | 2018 |
| Laplacian filter in reconstruction of images using gradient-based algorithm I Stankoviæ, M Brajoviæ, L Stankoviæ, M Dakoviæ 2021 29th Telecommunications Forum (TELFOR), 1-4, 2021 | 7 | 2021 |
| Improved coherence index-based bound in compressive sensing L Stankoviæ, M Brajoviæ, D Mandic, I Stankoviæ, M Dakoviæ IEEE Signal Processing Letters 28, 1110-1114, 2021 | 7 | 2021 |
| Analysis of off-grid effects in wideband sonar images using compressive sensing I Stankoviæ, C Ioana, M Dakoviæ, L Stankoviæ OCEANS 2018 MTS/IEEE Charleston, 1-6, 2018 | 7 | 2018 |
| Reconstruction of sparse and nonsparse signals from a reduced set of samples L Stankovic, I Stankovic arXiv preprint arXiv:1512.01812, 2015 | 7 | 2015 |
| The DCT domain sparsity-assisted detection and recovery of impulsively disturbed samples M Brajoviæ, I Stankoviæ, M Dakoviæ, L Stankoviæ Multimedia Tools and Applications 80, 6221-6234, 2021 | 6 | 2021 |
| Sequence comparison in reconstruction and targeting in underwater sonar imaging I Stankoviæ, C Ioana, M Dakoviæ OCEANS 2019-Marseille, 1-10, 2019 | 6 | 2019 |
| Analysis of initial estimate noise in the sparse randomly sampled ISAR signals L Stankovic, M Brajovic, I Stankovic, C Ioana, M Dakovic 5th International Workshop on Compressed Sensing applied to Radar …, 2018 | 6 | 2018 |
| Comparison of a gradient-based and LASSO (ISTA) algorithm for sparse signal reconstruction S Vujoviæ, I Stankoviæ, M Dakoviæ, L Stankoviæ 2016 5th Mediterranean Conference on Embedded Computing (MECO), 377-380, 2016 | 6 | 2016 |
Milo¹ DakoviæFaculty of Electrical Engineering, University of MontenegroVerified email at ucg.ac.me
