Lag-windowing and multiple-data-windowing are roughly equivalent for smooth spectrum estimation McCloud, Michael L. ; Scharf, Louis L. ; Mullis, Clifford T., 1943- "This work was supported by the National Science Foundation under Contract MIP-9529050 and by the Office of Naval Research under Contract N00014-89-J-1070." There is no fundamental difference between lag-windowing a correlation sequence and multiple-windowing a data sequence when the objective is to reduce the mean-squared error of a spectrum estimator. By analyzing the approximate low-rank factorization of a bandlimiting Toeplitz operator, we find that lag-windowed (or spectrally smoothed) spectrum estimators have multiple-data-windowed implementations. This makes the Blackman–Tukey–Grenander–Rosenblatt spectrogram equivalent to the Thomson spectrum estimator (and vice-versa), meaning BTGR spectrograms may be implemented in a multichannel filterbank version of the Thomson estimator. Colorado State University. Libraries 1999 text ; image application/pdf ECElls00014.pdf FACFECEN100403ARTI eng c1999 IEEE
Lag-windowing and multiple-data-windowing are roughly equivalent for smooth spectrum estimation
McCloud, Michael L. ; Scharf, Louis L. ; Mullis, Clifford T., 1943-
"This work was supported by the National Science Foundation under Contract MIP-9529050 and by the Office of Naval Research under Contract N00014-89-J-1070."
There is no fundamental difference between lag-windowing a correlation sequence and multiple-windowing a data sequence when the objective is to reduce the mean-squared error of a spectrum estimator. By analyzing the approximate low-rank factorization of a bandlimiting Toeplitz operator, we find that lag-windowed (or spectrally smoothed) spectrum estimators have multiple-data-windowed implementations. This makes the Blackman–Tukey–Grenander–Rosenblatt spectrogram equivalent to the Thomson spectrum estimator (and vice-versa), meaning BTGR spectrograms may be implemented in a multichannel filterbank version of the Thomson estimator.
Colorado State University. Libraries
1999
text ; image
application/pdf
ECElls00014.pdf
FACFECEN100403ARTI
eng
c1999 IEEE