Papers Published

1. Krolik, Jeffrey and Eizenman, Moshe, MINIMUM VARIANCE SPECTRAL ESTIMATION FOR BROADBAND SOURCE LOCATION USING STEERED COVARIANCE MATRICES., Proceedings - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing (1988), pp. 2841 - 2844 [ICASSP.1988.197245] .
   (last updated on 2007/04/16)

   Abstract:
   An approach is presented for reducing the threshold observation time required to perform high resolution broadband bearing estimation. The proposed technique is based on a space-time statistic called the steered covariance matrix (STCM). In broadband settings, the STCM has an advantage over the well-known cross-spectral density matrix (CSDM) in that it can be estimated with much greater statistical stability. The STCM is used in conjunction with minimum variance spectral estimation to obtain a broadband spatial spectral estimate with a much lower threshold observation time than the CSDM-based minimum-variance distortionless response (MVDR) method.

   Keywords:
   MATHEMATICAL TECHNIQUES - Matrix Algebra;MATHEMATICAL STATISTICS;SIGNAL FILTERING AND PREDICTION;