AMP.It: MATLAB Simulation and Implementation

This article explores MATLAB simulation of the AMP (Approximate Message Passing) algorithm. Specifically, we cover the source code structure, compilation procedures, along with the technology's application scenarios and advantages. First, let's understand what MATLAB-simulated AMP entails and its underlying principles. Essentially, AMP is a signal processing technique based on Gaussian signal decomposition that enhances processing efficiency while maintaining signal accuracy. The algorithm implementation typically involves iterative thresholding procedures and message passing between variable nodes. Key MATLAB functions employed may include matrix operations for signal representation, while loops for iteration control, and custom functions for threshold calculations. This technology finds widespread application in communications and signal processing domains such as wireless communications and radar signal processing. Throughout this article, we will detail the algorithm's theoretical foundation and implementation methodology, including code structure organization and parameter configuration considerations, while examining its applications and prospects across various domains.