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cs.IT2021
Improved Coherence Index-Based Bound in Compressive Sensing
Ljubisa Stankovic, Milos Brajovic, Danilo Mandic +2
Within the Compressive Sensing (CS) paradigm, sparse signals can be reconstructed based on a reduced set of measurements. Reliability of the solution is determined by the uniquenes…
cs.IT2020
RANSAC-Based Signal Denoising Using Compressive Sensing
Ljubisa Stankovic, Milos Brajovic, Isidora Stankovic +2
In this paper, we present an approach to the reconstruction of signals exhibiting sparsity in a transformation domain, having some heavily disturbed samples. This sparsity-driven s…
cs.IT2019
Quantization in Compressive Sensing: A Signal Processing Approach
Isidora Stankovic, Milos Brajovic, Milos Dakovic +2
Influence of the finite-length registers and quantization effects on the reconstruction of sparse and approximately sparse signals is analyzed in this paper. For the nonquantized m…