“…dilute, distant, or covert), and the environment cluttered, additional processing/filtering is necessary to ensure satisfactory performance. Digital linear-phase finite-impulse-response (FIR) realizations of polynomial regression filters, sometimes known as Savitzky-Golay (SG) filters (named after the physical chemists who first applied them to the smoothing of spectra), are commonly used in such problems; for instance in: image-processing [1], [2], power-engineering [3], [4], and bio-medical applications [5], [6], [7], [8], [9]. SG-filters are popular and have a long history because they have: a low computational complexity, for fast realization in online systems; and a simple mathematical foundation, for the intuitive interpretation of their operation and output.…”