Title :
Subband adaptive noise canceler for hands-free cellular phone applications
Author :
Kuo, Sen M. ; Kunduru, Jyothsna
Author_Institution :
Dept. of Electr. Eng., Northern Illinois Univ., DeKalb, IL, USA
Abstract :
Broadband adaptive noise cancellation applications often involve adaptive filter lengths of hundreds of taps. This gives rise to high computational complexity, large misadjustment errors and slow convergence. In this paper subband processing techniques are proposed to get a better noise cancellation in hands-free cellular phones. Simulation results are shown for the traditional and subband adaptive noise canceler (SANC). An average noise reduction of 18 dB is achieved with SANC, as compared to a reduction of 6 dB with traditional ANC
Keywords :
acoustic signal processing; adaptive filters; adaptive signal processing; cellular radio; noise abatement; radiotelephony; SANC; adaptive filter lengths; average noise reduction; broadband adaptive noise cancellation; computational complexity; convergence; hands-free cellular phone application; misadjustment errors; noise cancellation; simulation results; subband adaptive noise canceler; subband processing techniques; Adaptive filters; Cellular phones; Computational complexity; Filter bank; Noise cancellation; Noise reduction; Signal synthesis; Speech enhancement; Speech synthesis; Stability;
Conference_Titel :
Applications of Signal Processing to Audio and Acoustics, 1993. Final Program and Paper Summaries., 1993 IEEE Workshop on
Conference_Location :
New Paltz, NY
Print_ISBN :
0-7803-2078-6
DOI :
10.1109/ASPAA.1993.380006