2013 18th International Conference on Methods &Amp; Models in Automation &Amp; Robotics (MMAR) 2013
DOI: 10.1109/mmar.2013.6669879
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Stability analysis of linear time-varying IIR filter with equalized group delay characteristic

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Cited by 8 publications
(3 citation statements)
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“…where a i (w) and b i (w) are the time-varying coefficients, y(w) is the output, x(w) is the input, n and m are the numbers of coefficients, i is the auxiliary index, and w is the discrete-time index. One can find more details about discrete time-varying filters along with the discussions about stability of such designs in the following literature [22,23].…”
Section: Discrete Time-varying Filter With Reduced Transient Responsementioning
confidence: 99%
“…where a i (w) and b i (w) are the time-varying coefficients, y(w) is the output, x(w) is the input, n and m are the numbers of coefficients, i is the auxiliary index, and w is the discrete-time index. One can find more details about discrete time-varying filters along with the discussions about stability of such designs in the following literature [22,23].…”
Section: Discrete Time-varying Filter With Reduced Transient Responsementioning
confidence: 99%
“…Unfortunately, the methods known from the common structures cannot be used. In [11] we have the presented methodology for checking the stability of the time-varying filters. We have described the recalculation of (2) to acquire n − 1 order nonlinear difference equation with time-varying coefficients in terms of n−1 initial conditions…”
Section: Time-varying Casementioning
confidence: 99%
“…Assuming the exact same magnitude boundaries, the FIR filter has much higher order than the IIR filter. However, the non-recursive design is always stable due to the lack of feedbacks [9].…”
Section: Introductionmentioning
confidence: 99%