5 papers
Random Feature Approximation for Online Nonlinear Graph Topology Identification
Rohan Money, Joshin Krishnan, Baltasar Beferull-Lozano
Online topology estimation of graph-connected time series is challenging, especially since the causal dependencies in many real-world networks are nonlinear. In this paper, we prop…
Online Non-linear Topology Identification from Graph-connected Time Series
Rohan Money, Joshin Krishnan, Baltasar Beferull-Lozano
Estimating the unknown causal dependencies among graph-connected time series plays an important role in many applications, such as sensor network analysis, signal processing over c…
SURE-fuse WFF: A Multi-resolution Windowed Fourier Analysis for Interferometric Phase Denoising
Joshin P. Krishnan, Mário A. T. Figueiredo, José M. Bioucas-Dias
Interferometric phase (InPhase) imaging is an important part of many present-day coherent imaging technologies. Often in such imaging techniques, the acquired images, known as inte…
Patch-based Interferometric Phase Estimation via Mixture of Gaussian Density Modelling & Non-local Averaging in the Complex Domain
Joshin P. Krishnan, José M. Bioucas-Dias
This paper addresses interferometric phase (InPhase) image denoising, i.e., the denoising of phase modulo-2p images from sinusoidal 2p-periodic and noisy observations. The wrapping…
Dictionary Learning Phase Retrieval from Noisy Diffraction Patterns
Joshin P. Krishnan, José M. Bioucas-Dias, Vladimir Katkovnik
This paper proposes a novel algorithm for image phase retrieval, i.e., for recovering complex-valued images from the amplitudes of noisy linear combinations (often the Fourier tran…