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A Tutorial on Sparse Signal Reconstruction and Its Applications in Signal Processing.

, , , , and . CSSP, 38 (3): 1206-1263 (2019)

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Watermarking in the space/spatial-frequency domain using two-dimensional Radon-Wigner distribution., , and . IEEE Trans. Image Processing, 10 (4): 650-658 (2001)A system for compressive sensing signal reconstruction., , , and . EUROCON, page 170-175. IEEE, (2017)The reconstruction of 2D sparse signals by exploiting transform coefficients variances., , , and . EUROCON, page 282-286. IEEE, (2017)Identification of image source using serial-number-based watermarking under Compressive Sensing conditions., , , and . MIPRO, page 1227-1232. IEEE, (2017)On the parameterization of Hermite transform with application to the compression of QRS complexes., , , and . Signal Process., (2017)Computed tomography image analyzer: 3D reconstruction and segmentation applying active contour models - 'snakes'., , and . Int. J. Medical Informatics, (2000)L-statistics based space/spatial-frequency filtering of 2D signals in heavy tailed noise., and . Signal Process., (2014)Motion parameters estimation by new propagation approach and time-frequency representations., , , and . Signal Process. Image Commun., 19 (8): 755-770 (2004)On the Wigner distribution of discrete-time noisy signals with application to the study of quantization effects., and . IEEE Trans. Signal Process., 42 (7): 1863-1867 (1994)Compressive Sensing Based Separation of Nonstationary and Stationary Signals Overlapping in Time-Frequency., , , and . IEEE Trans. Signal Process., 61 (18): 4562-4572 (2013)