6 citations · 17 across the 12 of their papers we have counts for
8 papers · 1 filter
Memory AMP: Overflow Avoidance, Complexity Reduction, and Comparative Analysis
Shunqi Huang, Lei Liu, Brian M. Kurkoski
Approximate message passing (AMP)-type algorithms are widely used for signal recovery in high-dimensional noisy linear systems. Recently, a framework called memory AMP (MAMP) was i…
Random Multiplexing
Lei Liu, Yuhao Chi, Shunqi Huang +1
As wireless communication applications evolve from traditional multipath environments to high-mobility scenarios like unmanned aerial vehicles, multiplexing techniques have advance…
Random Modulation: Achieving Asymptotic Replica Optimality over Arbitrary Norm-Bounded and Spectrally Convergent Channel Matrices
Lei Liu, Yuhao Chi, Shunqi Huang
This paper introduces a random modulation technique that is decoupled from the channel matrix, allowing it to be applied to arbitrary norm-bounded and spectrally convergent channel…
Overflow-Avoiding Memory AMP
Shunqi Huang, Lei Liu, Brian M. Kurkoski
Approximate Message Passing (AMP) type algorithms are widely used for signal recovery in high-dimensional noisy linear systems. Recently, a principle called Memory AMP (MAMP) was p…
Sufficient Statistic Memory Approximate Message Passing
Lei Liu, Shunqi Huang, Brian M. Kurkoski
Approximate message passing (AMP) type algorithms have been widely used in the signal reconstruction of certain large random linear systems. A key feature of the AMP-type algorithm…
Sufficient-Statistic Memory AMP
Lei Liu, Shunqi Huang, YuZhi Yang +2
Approximate message passing (AMP) type algorithms have been widely used in the signal reconstruction of certain large random linear systems. A key feature of the AMP-type algorithm…
Memory Approximate Message Passing
Lei Liu, Shunqi Huang, Brian M. Kurkoski
Approximate message passing (AMP) is a low-cost iterative parameter-estimation technique for certain high-dimensional linear systems with non-Gaussian distributions. However, AMP o…
Memory AMP
Lei Liu, Shunqi Huang, Brian M. Kurkoski
Approximate message passing (AMP) is a low-cost iterative parameter-estimation technique for certain high-dimensional linear systems with non-Gaussian distributions. AMP only appli…