Title :
Sub-band adaptive IIR noise cancellation
Author :
Lee, Bob H. ; Kuo, Sen M.
Author_Institution :
Dept. of Electr. Eng., Northern Illinois Univ., DeKalb, IL, USA
Abstract :
A subband adaptive infinite impulse response (IIR) noise cancellation scheme whose structure enables the cancellation of multiple sinusoidal interferences in a received speech signal is presented. Compared with the classical least mean square adaptive noise cancellation method, this new structure has two major differences. First, the quadrature mirror filter technique is used to decompose signals into subbands. Second, a new constrained adaptive IIR notch filter and adaptive IIR bandpass filter are developed to form an adaptive IIR noise canceller and used to remove the multiple-frequency, or harmonic, noise from a received speech signal. Computer simulations were done using a set of actual speech signals corrupted by car engine noise. Experiments demonstrate that more than 20-dB signal-to-noise ratio improvements can be achieved
Keywords :
digital filters; interference suppression; signal processing; adaptive IIR bandpass filter; adaptive IIR noise canceller; cancellation of multiple sinusoidal interferences; constrained adaptive IIR notch filter; decompose signals into subbands; quadrature mirror filter technique; received speech signal; signal-to-noise ratio improvements; speech signals corrupted by car engine noise; subband adaptive IIR noise cancellation; Adaptive filters; Band pass filters; Computer simulation; IIR filters; Interference cancellation; Interference constraints; Mirrors; Noise cancellation; Power harmonic filters; Speech enhancement;
Conference_Titel :
Circuits and Systems, 1990., IEEE International Symposium on
Conference_Location :
New Orleans, LA
DOI :
10.1109/ISCAS.1990.112194