RANSAC-Based Signal Denoising Using Compressive Sensing
Author:
Publisher
Springer Science and Business Media LLC
Subject
Applied Mathematics,Signal Processing
Link
https://link.springer.com/content/pdf/10.1007/s00034-021-01654-4.pdf
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3. T. Blumensath, Sampling and reconstructing signals from a union of linear subspaces. IEEE Trans. Inf. Theory 57(7), 4660–4671 (2011)
4. M. Brajovic, S. Stankovic, I. Orovic, M. Dakovic, L. Stankovic, Sparsity-Driven Impulsive Noise Removal: A Discrete Hermite Transform Case Study 27th Telecommunications Forum (TELFOR 2019) (Belgrade, Serbia, 2019)
5. M. Brajovic, I. Stankovic, M. Dakovic, L. Stankovic, The DCT domain sparsity-assisted detection and recovery of impulsively disturbed samples. Multimedia Tools Appl. (2020). https://doi.org/10.1007/s11042-020-09998-w
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