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Passive, active, and digital filters (3ed., CRC, 2009) - tiera.ru

Passive, active, and digital filters (3ed., CRC, 2009) - tiera.ru

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26-30 <strong>Passive</strong>, Active, <strong>and</strong> Digital FiltersSignal amplitude420−2−40 500 1000420−2−40 500 1000420−2−40 500 1000420−2−40 500 1000420−2−40 500 1000420−2−40 500 1000Time indexFIGURE 26.12 Power line communications signal enhancement: (a) transmitted signal, (b) observed signalcor<strong>ru</strong>pted by a ¼ 1:25 noise, output of the (c) mean [2:5388]f8:6216g, (d) median [2:4267]f7:4393g, (e) myriad[2:4385]f7:4993g; <strong>and</strong> (f) meridian <strong>filters</strong> [2:4256]f7:4412g, where [ ] <strong>and</strong> fg denotes the mean absolute <strong>and</strong>squared error for the corresponding filtering st<strong>ru</strong>cture.weights, but also the ability of robust nonlinear <strong>filters</strong> to perform frequency selectivity that is traditionallyaccomplished through linear filtering. Figure 26.13a depicts a two-tone signal with normalized frequencies0.02 <strong>and</strong> 0.4 Hz. The signal is 1000 samples long, although a cropped version of the original signalf0,200g is shown for presentation purposes. Figure 26.13b shows the multitone signal filtered by a 40-taplinear FIR filter designed by the MATLAB fir1 comm<strong>and</strong> with a normalized cutoff frequency of 0.3 Hz.The myriad <strong>and</strong> median filter weights are optimized in this case utilizing the adaptive methods detailed inthe previous section.* Noting that the median filter is a limiting case of the meridian filter, the meridianfilter weights are set equal to those of the median.The clean multitone input signal is cor<strong>ru</strong>pted by additive a-Stable noise with a ¼ 0:4 to form acor<strong>ru</strong>pted observation from which the single high frequency tone must be extracted, Figure 26.13c. Thenoisy multitone signal is processed by the linear, median, myriad, <strong>and</strong> meridian <strong>filters</strong> with the resultsgiven in Figures 26.13d through g, respectively. Similarly to the first example, the observation signal inthis case contains very heavy tailed outliers. These outliers cause the linear filter to, once again, breakdown. Each of the nonlinear <strong>filters</strong>, in contrast, offers more robust processing, with the outputs moreclosely reflecting the range <strong>and</strong> frequency content of the desired signal. The increasing robustness ofthe operators is again apparent, with the myriad being more robust to outliers than the median <strong>and</strong> themeridian being the most robust. It should be noted that the nonlinear <strong>filters</strong> not only minimize theinfluence of outliers, but their flexible weighted st<strong>ru</strong>ctures are able to effectively pass desired frequencycontent while rejecting content outside the desired frequency b<strong>and</strong>. The ability to simultaneously reject* The clean multitone signal <strong>and</strong> the desired high-frequency signal are utilized as the input <strong>and</strong> desired signals, respectively.For more detail see Refs. [28,29,31].

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