Title :
Development of optimum adaptive notch filter for fixed-point implementation in active noise control
Author :
Kuo, Sen M. ; Zhu, Sherry ; Wang, Mingjie
Author_Institution :
Dept. of Electr. Eng., Northern Illinois Univ., DeKalb, IL, USA
Abstract :
The authors present a delayed least mean square (LMS) algorithm which introduces delay in the reference input for active periodic noise control applications. Results show a reduction in out-of-band overshoot and coefficient quantization noise for fixed-point implementation. Computer simulations show an average of 5 dB overshoot constraint and 10 dB quantization noise reduction
Keywords :
acoustic signal processing; acoustic variables control; adaptive filters; least squares approximations; notch filters; active noise control; coefficient quantization noise; computer simulations; delayed least mean square algorithm; fixed-point implementation; optimum adaptive notch filter; out-of-band overshoot; Active noise reduction; Adaptive control; Adaptive filters; Delay; Equations; Finite impulse response filter; Least squares approximation; Programmable control; Quantization; Transfer functions;
Conference_Titel :
Industrial Electronics, Control, Instrumentation, and Automation, 1992. Power Electronics and Motion Control., Proceedings of the 1992 International Conference on
Conference_Location :
San Diego, CA
Print_ISBN :
0-7803-0582-5
DOI :
10.1109/IECON.1992.254402
