Projekter pr. år
Abstract
Generalised approximate message passing (GAMP) is an approximate Bayesian estimation algorithm for signals observed through a linear transform with a possibly non-linear measurement model.
By leveraging prior information about the observed signal, such as sparsity in a known dictionary, GAMP enables reconstructing signals from under-determined measurements – known as compressed sensing.
In the sparse signal setting, most existing signal priors for GAMP assume the input signal to have i.i.d. entries.
We present sparse signal priors to estimate non-identically distributed signals through a non-uniform weighting, e.g. enabling model-based compressed sensing with GAMP.
By leveraging prior information about the observed signal, such as sparsity in a known dictionary, GAMP enables reconstructing signals from under-determined measurements – known as compressed sensing.
In the sparse signal setting, most existing signal priors for GAMP assume the input signal to have i.i.d. entries.
We present sparse signal priors to estimate non-identically distributed signals through a non-uniform weighting, e.g. enabling model-based compressed sensing with GAMP.
Originalsprog | Engelsk |
---|---|
Publikationsdato | 22 nov. 2018 |
DOI | |
Status | Udgivet - 22 nov. 2018 |
Begivenhed | international Traveling Workshop on Interactions between low-complexity data models and Sensing Techniques - Centre International de Rencontres Mathématiques, Marseille, Frankrig Varighed: 21 nov. 2018 → 23 nov. 2018 Konferencens nummer: 4 https://sites.google.com/view/itwist18 |
Workshop
Workshop | international Traveling Workshop on Interactions between low-complexity data models and Sensing Techniques |
---|---|
Nummer | 4 |
Lokation | Centre International de Rencontres Mathématiques |
Land/Område | Frankrig |
By | Marseille |
Periode | 21/11/2018 → 23/11/2018 |
Internetadresse |
Fingeraftryk
Dyk ned i forskningsemnerne om 'Generalised Approximate Message Passing for Non-I.I.D. Sparse Signals'. Sammen danner de et unikt fingeraftryk.Projekter
- 1 Afsluttet
-
FastAFM: Enabling Fast Image Acquisition for Atomic Force Microscopy using Compressed Sensing
Larsen, T. (Bevillingshaver), Østergaard, J. (Projektdeltager), Jensen, T. (Projektdeltager), Arildsen, T. (Projektdeltager), Oxvig, C. S. (Projektdeltager) & Pedersen, P. S. (Projektdeltager)
01/09/2013 → 31/08/2016
Projekter: Projekt › Forskning
Aktiviteter
- 1 Konferenceoplæg
-
Generalised Approximate Message Passing for Non-I.I.D. Sparse Signals
Arildsen, T. (Foredragsholder)
21 nov. 2018 → 23 nov. 2018Aktivitet: Foredrag og mundtlige bidrag › Konferenceoplæg
Publikation
- 1 Paper uden forlag/tidsskrift
-
Generalised Approximate Message Passing for Non-I.I.D. Sparse Signals
Oxvig, C. S. & Arildsen, T., 22 nov. 2018. 3 s.Publikation: Konferencebidrag uden forlag/tidsskrift › Paper uden forlag/tidsskrift › Forskning › peer review
Åben adgangFil
Forskningsdatasæt
-
Weighted GAMP Phase Transitions
Oxvig, C. S. (Ophavsperson), Arildsen, T. (Ophavsperson) & Larsen, T. (Ophavsperson), Zenodo, 5 sep. 2018
Datasæt