5 citations · 11 across the 4 of their papers we have counts for
4 papers
On the Decomposition of Multivariate Nonstationary Multicomponent Signals
Ljubisa Stankovic, Milos Brajovic, Milos Dakovic +1
With their ability to handle an increased amount of information, multivariate and multichannel signals can be used to solve problems normally not solvable with signals obtained fro…
An Intuitive Derivation of the Coherence Index Relation in Compressive Sensing
Ljubisa Stankovic, Danilo Mandic, Milos Dakovic +1
The existence and uniqueness conditions are a prerequisite for reliable reconstruction of sparse signals from reduced sets of measurements within the Compressive Sensing (CS) parad…
An Example-Driven Introduction to Data Analytics on Graphs
Ljubisa Stankovic, Danilo Mandic, Milos Dakovic +3
Graphs are irregular structures which naturally account for data integrity, however, traditional approaches have been established outside Signal Processing, and largely focus on an…
Reconstruction of Randomly Sampled Sparse Signals Using an Adaptive Gradient Algorithm
Ljubisa Stankovic, Milos Dakovic
Sparse signals can be recovered from a reduced set of samples by using compressive sensing algorithms. In common methods the signal is recovered in the sparse domain. A method for…