计算机多媒体音频信号盲源分离的独立成分分析技术应用  

Application of independent component analysis technique for blind source separation of computer multimedia audio signal

作　　者：陈伟[1] CHEN Wei(Hebei Vocational and Technical College of Building Materials,Qinhuangdao,Hebei 066000,China)

机构地区：[1]河北建材职业技术学院,河北秦皇岛066000

出　　处：《计算机应用文摘》2025年第8期66-68,共3页

摘　　要：文章深入探讨了独立成分分析(ICA)技术在计算机多媒体音频信号盲源分离中的应用。首先,阐述了ICA的基本原理、算法分类与实现,重点介绍了FastICA和JADE算法。其次,分析了ICA在音频信号处理中的适用性,如在语音和音乐处理中的具体应用。同时,文章指出了ICA在音频盲源分离中面临的挑战,包括音频信号的复杂性、计算复杂度高以及模型适应性不足等问题,并提出了相应的改进策略(如改进ICA方法、优化算法结构以及自适应调整ICA参数等)。This article delves into the application of Independent Component Analysis(ICA)technology in blind source separation of computer multimedia audio signals.Firstly,the basic principles,algorithm classification,and implementation of ICA were explained,with a focus on FastICA and JADE algorithms.Secondly,the applicability of ICA in audio signal processing was analyzed,such as its specific applications in speech and music processing.At the same time,the article points out the challenges faced by ICA in audio blind source separation,including the complexity of audio signals,high computational complexity,and insufficient model adaptability.Corresponding improvement strategies are proposed,such as improving ICA methods,optimizing algorithm structures,and adaptively adjusting ICA parameters.

关 键 词：ICA 音频信号 盲源分离 多媒体 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]