Suppression of transients in variable recursive digital filters with a novel and efficient cancellation method

A new method for suppressing transients in recursive infinite impulse respo nse (IIR) digital filters is proposed. The technique is based on modifying the state (delay) variables of the filter when coefficients are changed so that the filter enters a new state smoothly without transient attacks, as o riginally proposed by Zetterberg and Zhang. In this correspondence, we modi fy the Zetterberg-Zhang algorithm to render it feasible for efficient imple mentation. We define a mean square error (MSE) measure for transients and d etermine the optimal transient suppresser to cancel the transients down to a desired level at the minimum complexity of implementation. The applicatio n of the method to all-pole and direct-form II (DF II) IIR filter sections is studied in detail. Time-varying recursive filtering with transient elimi nation is illustrated for tunable fractional delay filters and variable-ban dwidth lowpass filters.