scholarly journals Calculate wavelets spectral estimate

2012 ◽  
Vol 11 (3) ◽  
pp. 149-157 ◽  
Author(s):  
Natallia Semianchuk ◽  
Keyword(s):  
Spectral Estimate

A Power Spectral Estimate which is Insensitive to Transients

Technometrics ◽  
1973 ◽  
Vol 15 (3) ◽  
pp. 559-562
Author(s):  
David R. Brillincer
Keyword(s):  
Spectral Estimate ◽  
Power Spectral

Autocorrelation estimation using constrained iterative spectral deconvolution

Geophysics ◽  
1989 ◽  
Vol 54 (3) ◽  
pp. 381-391 ◽  
Author(s):  
Murali Ramaswamy ◽  
George E. Ioup
Keyword(s):  
Power Spectrum ◽  
Iterative Method ◽  
Maximum Entropy ◽  
Spectral Resolution ◽  
Spectral Estimate ◽  
Data Sequence ◽  
Spectral Deconvolution ◽  
Power Spectral ◽  
Nonnegativity Constraints ◽  
Entropy Technique

Computing an autocorrelation conventionally produces a biased estimate, especially for a short data sequence. Windowing the autocorrelation can remove the bias but at the expense of violating the nonnegativity of the corresponding power spectrum. Constrained iterative deconvolution provides a basis for improving an autocorrelation estimate by reducing the bias while guaranteeing nonnegative definiteness. The length of the autocorrelation is increased in order to satisfy the nonnegativity constraints on the power spectral estimate. The constraints can also have significant effects on small, poorly determined values of the autocorrelation. The technique is applied to synthetic and real examples to show the improvements in the autocorrelation and power spectrum which are possible. The method is reasonably stable in the presence of noise and it approximately preserves the area of the power spectrum. Comparison to the maximum entropy technique shows that the iterative method gives power spectral resolution which is sometimes better and sometimes not as good, but that there are cases for which it is the more desirable approach.

Spectral estimate in ADCP

2002 ◽  
Author(s):  
Zhu Wei-Qing ◽  
Wang Chang-Hong ◽  
Pan Feng ◽  
Zhu Min ◽  
Zhang Xiang-Jun
Keyword(s):  
Spectral Estimate
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