Research on the Application of Adaptive Filtering Algorithm in Visual Intercom Systems
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.
国家科技期刊平台
NSTL
万方数据
维普
