Title :
Signal class estimation using MLM
Author :
Parks, T.W. ; Shenoy, R.G. ; Wijeyesekera, N.I.
Author_Institution :
Dept. of Electr. Eng., Cornell Univ., Ithaca, NY, USA
Abstract :
The authors begin with a review of estimation using signal classes. They then show that certain spectral estimation procedures can be viewed as methods of estimating a signal class from data. Given a signal class, it is then possible to estimate signal parameters other than the magnitude of the spectrum, such as phase or missing data points
Keywords :
filtering and prediction theory; spectral analysis; estimation; maximum likelihood methods; signal classes; spectral estimation; Data engineering; Ear; Filters; Fourier transforms; Frequency domain analysis; Hilbert space; Kernel; Parameter estimation; Phase estimation; Visualization;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1989. ICASSP-89., 1989 International Conference on
Conference_Location :
Glasgow
DOI :
10.1109/ICASSP.1989.266893
