自适应滤波算法在可视对讲系统中应用的研究  

Research on the Application of Adaptive Filtering Algorithm in Visual Intercom Systems

作　　者：戴航 郑秋华 DAI Hang;ZHENG Qiuhua(Changchun Technical University of Automobile,Changchun 130013,China)

机构地区：[1]长春汽车职业技术大学,吉林长春130013

出　　处：《现代信息科技》2024年第8期10-14,共5页Modern Information Technology

摘　　要：随着生活智能化程度的不断加深,社区与住宅区的安全也越来越被摆在重要的位置。在可视对讲系统中,对讲是系统的核心,通话的质量决定了对讲的效果。在对传统自适应滤波算法进行全面分析的基础上,针对回声严重影响对讲质量的问题,提出一种改进归一化最小均方算法。研究结果表明,改进归一化最小均方算法可以很好地消除可视对讲产生的回声噪音,显著改善可视对讲系统的对讲质量。With the continuous deepening of life intelligence,the safety of communities and residential areas is also increasingly placed in an important position.In a visual intercom system,intercom is the core of the system,and the quality of calls determines the effectiveness of intercom.On the basis of a comprehensive analysis of traditional adaptive filtering algorithms,an improved normalized minimum mean square algorithm is proposed to address the serious impact of echo on intercom quality.The research results indicate that improved normalized minimum mean square algorithm can effectively eliminate the echo noise generated by visual intercom and significantly improve the intercom quality of the visual intercom system.

关 键 词：自适应滤波算法 LMS 回声噪音 

分 类 号：TN929.54[电子电信—通信与信息系统] TN713[电子电信—信息与通信工程]