A new insight into GAMP and AMP
A concise expectation propagation (EP) based message passing algorithm (MPA) is derived for the general measurement channel. By neglecting some high-order infinitesimal terms, the EP-MPA is proven to be equivalent to the Generalized Approximate Message Passing (GAMP), which exploits central limit...
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Main Authors: | , , , , |
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Other Authors: | |
Format: | Article |
Language: | English |
Published: |
2021
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Subjects: | |
Online Access: | https://hdl.handle.net/10356/151568 |
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Institution: | Nanyang Technological University |
Language: | English |
Summary: | A concise expectation propagation (EP) based message passing algorithm (MPA)
is derived for the general measurement channel. By neglecting some high-order
infinitesimal terms, the EP-MPA is proven to be equivalent to the Generalized
Approximate Message Passing (GAMP), which exploits central limit theorem and
Taylor expansion to simplify the belief propagation process. Furthermore, for
additive white gaussian noise measurement channels, EP-MPA is proven to be
equivalent to the AMP. Such intrinsic equivalence between EP and GAMP/AMP
offers a new insight into GAMP and AMP via a unified message passing rule for
non-linear processing, and may provide clues towards building new MPAs in
solving more general non-linear problems. |
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