Abstract
Acoustic signal processing technology is a new discipline developed in recent years, which has been widely applied in various fields such as communication, radar, sonar, and so on. Due to the wide variety of sound sources and the high susceptibility of signals to various interferences, it is necessary to perform noise reduction processing on them. Blind source separation technology is an emerging signal processing method that can simultaneously separate signals from multiple sources, thus having significant advantages in noise reduction. On the basis of summarizing traditional noise reduction algorithms, this article proposes an improved adaptive filtering algorithm combined with blind source separation technology, and conducts simulation experiments on both the traditional algorithm and the improved algorithm.
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