activity
20162018
most citedSimultaneous Low-rank Component and Graph Estimation for High-dimensional Graph Signals: Application to Brain Imaging

3 citations · 6 across the 4 of their papers we have counts for

collaborators

5 papers

eess.SP2018★ 1 cited

On Sparse Graph Fourier Transform

Seyed Hamid Safavi, Manas Khatua, Ngai-Man Cheung +1

In this paper, we propose a new regression-based algorithm to compute Graph Fourier Transform (GFT). Our algorithm allows different regularizations to be included when computing th…

cs.IT2017

A Compressive Method for Centralized PSD Map Construction with Imperfect Reporting Channel

Mohammad Eslami, Seyed Hamid Safavi, Farah Torkamani-Azar +1

Spectrum resources management of growing demands is a challenging problem and Cognitive Radio (CR) known to be capable of improving the spectrum utilization. Recently, Power Spectr…

cs.MM2017

Perceptual Compressive Sensing based on Contrast Sensitivity Function: Can we avoid non-visible redundancies acquisition?

Seyed Hamid Safavi, Farah Torkamani-Azar

In this paper, we propose a novel CS approach in which the acquisition of non-visible information is also avoided.

cs.MM2017★ 2 cited

A novel Adaptive weighted Kronecker Compressive Sensing

Seyed Hamid Safavi, Farah Torkamani-Azar

Recently, multidimensional signal reconstruction using a low number of measurements is of great interest. Therefore, an effective sampling scheme which should acquire the most info…

cs.CV2016★ 3 cited

Simultaneous Low-rank Component and Graph Estimation for High-dimensional Graph Signals: Application to Brain Imaging

Rui Liu, Hossein Nejati, Seyed Hamid Safavi +1

We propose an algorithm to uncover the intrinsic low-rank component of a high-dimensional, graph-smooth and grossly-corrupted dataset, under the situations that the underlying grap…