论文信息 - High resolution spectral estimation of sinusoids in colored noise using a modified Pisarenko decomposition - 字舞流文

High resolution spectral estimation of sinusoids in colored noise using a modified Pisarenko decomposition

A method of recovering sinusoids from additive arbitrary colored noise is presented. It was a Hankel matrix formulation to recover the frequencies, and reduces to the Pisarenko decomposition for the case of white noise.

P. J. Sherman | A. Frazho | P. Sherman | A. Frazho

[1] O. L. Frost. Power-Spectrum Estimation , 1977 .

[2] B. Porat. ARMA spectral estimation based on partial autocorrelations , 1983 .

[3] S. Kay. Noise compensation for autoregressive spectral estimates , 1980 .

[4] V. Pisarenko. The Retrieval of Harmonics from a Covariance Function , 1973 .

[5] Vladimir Igorevich Arnold,et al. Geometrical Methods in the Theory of Ordinary Differential Equations , 1983 .

[6] L. Griffiths. Rapid measurement of digital instantaneous frequency , 1975 .

[7] D. M. Chabries,et al. Adaptive enhancement of multiple sinusoids in uncorrelated noise , 1978 .

[8] B. Widrow,et al. Adaptive noise cancelling: Principles and applications , 1975 .

[9] Thomas Kailath,et al. High-resolution spectral analysis using multiple-interval adaptive prediction , 1983 .

[10] L. Marple. Resolution of conventional Fourier, autoregressive, and special ARMA methods of spectrum analysis , 1977 .

[11] Donald G. Childers,et al. Modern Spectrum Analysis , 1978 .