5 papers
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…
Distributed Memory Approximate Message Passing
Jun Lu, Lei Liu, Shunqi Huang +2
Approximate message passing (AMP) algorithms are iterative methods for signal recovery in noisy linear systems. In some scenarios, AMP algorithms need to operate within a distribut…
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…