Minimum Cross Entropy Method with the Constraints of Uncertain Autocorrelations
Author:
Affiliation:
1. Department of Electrical and Electronic Engineering, Ritsumeikan University
Publisher
The Institute of Systems, Control and Information Engineers
Subject
General Medicine
Link
https://www.jstage.jst.go.jp/article/sss/2004/0/2004_247/_pdf
Reference7 articles.
1. [1] K. Nakamuro, K. Tanaka, Y. Togawa, and S. Sugimoto. The Spectral Estimation of The Speech Applying Minimum Cross Entropy Method. Proc. of the 47th Annual. Conference of the ISCIE, pp. 449-450, (2003).
2. [2] J. E. Shore. Minimum Cross - Entropy Spectral Analysis. IEEE Trans. Acoust., Speech, Signal Processing, Vol. ASSP-29, pp. 230-237, (1981).
3. [3] R. W. Johnson and J. E. Shore. Minimum Cross - Entropy Spectral Analysis of Multiple Signals. IEEE Trans. Acoust., Speech, Signal Processing, Vol. ASSP-31, No. 3, pp. 574-582, (1983).
4. [4] A. Papoulis. Maximum Entropy and Spectral Estimation: A Review. IEEE Trans. Acoust., Speech, Signal Processing, Vol. ASSP-29, No. 6, pp. 1176-1186.
5. [5] S. Sugimoto, T. Wada, and E. Nakatomi. Minimum Cross Entropy and Informational Approaches for a Spectrum Estimation. Proc. of 7th IFAC/IFORS Symp. on Identification and System Parameter Estimation, pp. 1727-1732, (1985).
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