10 citations · 10 across the 3 of their papers we have counts for
5 papers
Fast Decentralized Linear Functions Over Edge Fluctuating Graphs
Siavash Mollaebrahim, Baltasar Beferull-Lozano
Implementing linear transformations is a key task in the decentralized signal processing framework, which performs learning tasks on data sets distributed over multi-node networks.…
Fast Graph Filters for Decentralized Subspace Projection
Daniel Romero, Siavash Mollaebrahim, Baltasar Beferull-Lozano +1
A number of inference problems with sensor networks involve projecting a measured signal onto a given subspace. In existing decentralized approaches, sensors communicate with their…
Designing Asymmetric Shift Operators for Decentralized Subspace Projection
Siavash Mollaebrahim, Baltasar Beferull-Lozano
A large number of applications in wireless sensor networks include projecting a vector of noisy observations onto a subspace dictated by prior information about the field being mon…
Fast Decentralized Linear Functions via Successive Graph Shift Operators
Siavash Mollaebrahim, Daniel Romero, Baltasar Beferull-Lozano
We study decentralized designing of the graph shift operators to implement linear transformations between graph signals. Since this operator captures the local structure of the gra…
Interference Alignment in MIMO Interference Channels using SDP Relaxation
Siavash Mollaebrahim, Pouya Ghari, Mohammad Sadegh Fazel +1
Nowadays, providing higher data rate is a momentous goal for wireless communications systems. Interference is one of the important obstacles to reach this purpose. Interference ali…