Signal Spectrum Processing Using the CLEAN Algorithm
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In this paper, we introduce a method for processing signal spectra—the CLEAN algorithm. This algorithm processes signal spectra to achieve filtering effects. Through the CLEAN algorithm, we can effectively remove noise, thereby improving signal quality and reliability. The algorithm typically iteratively identifies and subtracts point-source components from the dirty spectrum while building up a clean spectrum model. Key implementation steps often involve Fourier transforms, convolution operations, and iterative deconvolution procedures. Additionally, the CLEAN algorithm can be applied to other domains such as image processing and audio signal processing. Its wide-ranging applications will enable further exploration and discoveries in various signal processing fields.
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