43 citations · 273 across the 26 of their papers we have counts for
27 papers
Long-Memory Message-Passing for Spatially Coupled Systems
Keigo Takeuchi
This paper addresses the reconstruction of sparse signals from spatially coupled, linear, and noisy measurements. A unified framework of rigorous state evolution is established for…
On the Convergence of Orthogonal/Vector AMP: Long-Memory Message-Passing Strategy
Keigo Takeuchi
This paper proves the convergence of Bayes-optimal orthogonal/vector approximate message-passing (AMP) to a fixed point in the large system limit. The proof is based on Bayes-optim…
On the Convergence of Orthogonal/Vector AMP: Long-Memory Message-Passing Strategy
Keigo Takeuchi
Orthogonal/vector approximate message-passing (AMP) is a powerful message-passing (MP) algorithm for signal reconstruction in compressed sensing. This paper proves the convergence…
Bayes-Optimal Convolutional AMP
Keigo Takeuchi
To improve the convergence property of approximate message-passing (AMP), convolutional AMP (CAMP) has been proposed. CAMP replaces the Onsager correction in AMP with a convolution…
Bayes-Optimal Convolutional AMP
Keigo Takeuchi
This paper proposes Bayes-optimal convolutional approximate message-passing (CAMP) for signal recovery in compressed sensing. CAMP uses the same low-complexity matched filter (MF)…
Convolutional Approximate Message-Passing
Keigo Takeuchi
This letter proposes a novel message-passing algorithm for signal recovery in compressed sensing. The proposed algorithm solves the disadvantages of approximate message-passing (AM…