Paper Info
Title
Optimizing Approximate Message Passing for Variable Measurement Noise.
Abstract
The standard Approximate Message Passing (AMP) algorithm optionally considers i.i.d. measurement noise. The governing parameter is the noise variance. When the noise is independent, but not identically distributed, applying AMP with the noise variance parameter set to the average of the actual noise variance results in significantly degraded performance. We propose a modified AMP algorithm called AMP-VN which improves performance for known noise variances.
Year
DOI
Venue
2018
10.23919/EUSIPCO.2018.8553159
European Signal Processing Conference
Field
DocType
ISSN
Signal processing,Noise measurement,Computer science,Algorithm,Independent and identically distributed random variables,Sparse matrix,Message passing,Signal processing algorithms
Conference
2076-1465
Citations 
PageRank 
References 
0
0.34
0
Authors
2
Name
Order
Citations
PageRank
Stefan C. Birgmeier100.68
Norbert Goertz231628.94