An Integral-Based Approach to Orthogonal AMP
Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
Author(s)
Related Research Unit(s)
Detail(s)
Original language | English |
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Pages (from-to) | 194-198 |
Journal / Publication | IEEE Signal Processing Letters |
Volume | 28 |
Online published | 24 Dec 2020 |
Publication status | Published - 2021 |
Link(s)
Abstract
Approximate message passing (AMP) is an iterative signal recovery algorithm for compressive sensing (CS) applications. In this letter, we present an integral-based orthogonal AMP (IB-OAMP) technique that avoids the requirements of AMP (and also the original form of OAMP) on differentiable and separable denoisers. The orthogonality in IB-OAMP can be established using a Monte Carlo method similar to the training stage in a machine-learning algorithm. These features make IB-OAMP attractive to be used in conjunction with some well-studied denoising algorithms.
Research Area(s)
- Binary phase shift keying, Gram-Schmidt orthogonality, integral-based OAMP, Monte Carlo methods, Noise reduction, Orthogonal approximate message passing, Sensors, Signal processing algorithms, Software algorithms, state evolution, Training
Citation Format(s)
An Integral-Based Approach to Orthogonal AMP. / Cheng, Yiyao; Liu, Lei; Ping, Li.
In: IEEE Signal Processing Letters, Vol. 28, 2021, p. 194-198.
In: IEEE Signal Processing Letters, Vol. 28, 2021, p. 194-198.
Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review