Title :
Frequency-domain periodic active noise control and equalization
Author :
Kuo, Sen M. ; Tahernezhadi, Mansour ; Ji, Li
Author_Institution :
Dept. of Electr. Eng., Northern Illinois Univ., DeKalb, IL, USA
fDate :
7/1/1997 12:00:00 AM
Abstract :
This paper analyzes a frequency-domain periodic active noise control (ANC) system. The adaptive filter employs the frequency domain complex least mean square (LMS) algorithm driven by a unit value at each frequency bin. The synchronously sampled frequency-domain adaptive structure acts as a comb filter to cancel narrowband noises with harmonically related frequencies. A frequency-domain periodic active noise equalization (ANE) system, which reshapes the residual noise by controlling the output of the adaptive comb filter at each frequency bin, is also developed and analyzed in this paper. Computer simulations and real-time experiments conducted attest to the practical usefulness of the proposed ANC and ANE systems
Keywords :
acoustic noise; active noise control; adaptive equalisers; adaptive filters; digital filters; frequency-domain synthesis; interference suppression; least mean squares methods; ANC; ANE; adaptive comb filter; adaptive filter; frequency domain complex least mean square algorithm; frequency-domain periodic active noise control; frequency-domain periodic active noise equalization system; narrowband noise; residual noise; synchronously sampled frequency-domain adaptive structure; Active noise reduction; Adaptive control; Adaptive equalizers; Adaptive filters; Control systems; Frequency domain analysis; Least squares approximation; Narrowband; Noise cancellation; Programmable control;
Journal_Title :
Speech and Audio Processing, IEEE Transactions on