Statistical and Adaptive Signal Processing

By V. Ingle, S. Kogon, Dimitris G. Manolakis. 2000

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Artifact Removal in Physiological Signals—Practices and Possibilities (2012, background): “This estimate of the artifact is then subtracted from the recorded signal x(n) and the residual ŝ(n) is an estimate of the original signal s(n) [48].”
Super-resolution TOA estimation with diversity for indoor geolocation (2004, background): “Super-resolution techniques have been studied in the field of spectral estimation [4].”
On the privacy preserving properties of random data perturbation techniques (2003, background): “The signal processing literature [12] offers many filters to remove white noise from data and they often work reasonably well.”