Title :
Single sensor active noise cancellation based on the EM algorithm
Author :
Oppenheim, A.V. ; Weinstein, E. ; Zangi, K.C. ; Feder, M. ; Gauger, D.
Author_Institution :
MIT, Cambridge, MA, USA
Abstract :
The authors develop an approach to active noise cancellation using a single microphone. The noise field is modelled as a stochastic process, and a time-adaptive algorithm based on a modification of the block-estimate-maximize (EM) algorithm is used to adaptively estimate the parameters of this process. Based on these parameter estimates a canceling signal is generated. The algorithm developed is evaluated with recordings of aircraft noise, and has been implemented in real time with a single AT&T DSP32C chip
Keywords :
acoustic noise; acoustic signal processing; aircraft; digital signal processing chips; noise abatement; parameter estimation; stochastic processes; AT&T DSP32C chip; EM algorithm; aircraft noise; block estimate-maximize algorithm; microphone; noise field; parameter estimation; single sensor active noise cancellation; stochastic process; time-adaptive algorithm; Acoustic noise; Active noise reduction; Iterative algorithms; Microphones; Noise cancellation; Noise figure; Noise measurement; Sensor systems; Signal processing algorithms; Stochastic processes;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1992. ICASSP-92., 1992 IEEE International Conference on
Conference_Location :
San Francisco, CA
Print_ISBN :
0-7803-0532-9
DOI :
10.1109/ICASSP.1992.225917