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Abstract: separating the o- and x-mode traces is then one of deconvolution. . A convolution may be written y = Hx + e, where x is the signal to be estimated, y is the measured or convolved signal and e is white Gaussian noise. Least squares estimation of x gives x = (H H) -1 H y, but the calculation of the inverse can be numerically unstable. . The LMS algorithm [3] estimates x recursively, taking the (k+1)th estimate of the signal, x k+1 , to be x k+1 = x k + H T (y - Hx k ), where m is a... (Update)
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BibTeX entry: (Update)
@misc{ roughan-automated,
author = "M. Roughan",
title = "Automated Mode Separation in Oblique Ionograms",
url = "citeseer.ist.psu.edu/article/roughan96automated.html" }
Citations (may not include all citations):519 System Identification: Theory for the User (context) - Ljung - 1987
31 Shape Detection in Computer Vision using the Hough Transform (context) - Leavers - 1992
5 Radio Science (context) - Earl, Ward - 1987
5 Numerische Mathematik (context) - Dijkstra - 1959
4 Peregrinus on behalf of the Institution of Electrical Engine.. (context) - Ionospheric
2 IEEE PAMI (context) - Roughan
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