Discrete-time signal processing
Discrete-time signal processing
Spatially selective sound capture for speech and audio processing
Speech Communication - Special issue: Fujisaki's Festschrift
Adaptive filter theory (3rd ed.)
Adaptive filter theory (3rd ed.)
Signal Processing Advances in Wireless and Mobile Communications, Volume 1: Trends in Channel Estimation and Equalization
Blind Channel Equalization and Identification
Blind Channel Equalization and Identification
Array Signal Processing: Concepts and Techniques
Array Signal Processing: Concepts and Techniques
ICASSP '96 Proceedings of the Acoustics, Speech, and Signal Processing, 1996. on Conference Proceedings., 1996 IEEE International Conference - Volume 02
Spatial blocking filter derivative constraints for the generalizedsidelobe canceller and MUSIC
IEEE Transactions on Signal Processing
System identification using nonstationary signals
IEEE Transactions on Signal Processing
Signal enhancement using beamforming and nonstationarity withapplications to speech
IEEE Transactions on Signal Processing
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We propose a robust microphone array for speech enhancement and noise suppression. To overcome target signal cancellation problem of conventional beamformes caused by array imperfections or reverberation effects, the proposed method adopts arbitrary transfer function relating each microphone and target speech signal as array channel model. This is achieved in two ways. First, we propose a method to estimate the array steering vector (ASV) by means of exploiting the nonstationarity of speech signal to combat stationary noise and interference. Next, with the estimated ASV, a robust matched-filter-(MF-) array-based generalized sidelobe canceller (MF-GSC) is constructed to enhance the speech signal and suppress noise/interference. In addition, it also has the capability to reduce the reverberation effects of the acoustic enclosure. Numerical results show that the proposed method demonstrates high performance even in adverse environments.