Title :
Design and simulation of adaptive noise cancellers with master-slave structure in strong noise environment
Author :
Shaoli, Kang ; ZhengDing, Qiu ; Yang, Xiao
Author_Institution :
Inst. of Inf. Sci., Northern Jiaotong Univ., Beijing, China
Abstract :
This paper discusses the problem of designing adaptive noise cancellers (ANC) which are used to extract faint signals from strong noise environments. We highlight three adaptive noise cancellers with master-slave structure, analyze their algorithms, adjust their parameters and simulate their performance. The conclusion is that the proposed ANCs all have good performance and satisfy our requirements
Keywords :
adaptive filters; adaptive signal processing; filtering theory; interference suppression; random noise; adaptive noise cancellers design; filters; master-slave structure; performance simulation; random noise; strong noise environment; Adaptive algorithm; Adaptive filters; Algorithm design and analysis; Analytical models; Convergence; Master-slave; Noise cancellation; Performance analysis; Signal design; Working environment noise;
Conference_Titel :
Signal Processing Proceedings, 2000. WCCC-ICSP 2000. 5th International Conference on
Conference_Location :
Beijing
Print_ISBN :
0-7803-5747-7
DOI :
10.1109/ICOSP.2000.894547