自适应滤波算法在可视对讲系统中应用的研究OA

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.