Magnitude Approximation of IIR Digital Filter using Greedy Search Method
نویسندگان
چکیده
The paper presents a greedy search method based on binary successive approximation-evolutionary search (BSA-ES) strategy to design stable infinite impulse response (IIR) digital filter using L1 optimality criterion. The stability constraints are well taken care of during the design procedure. The filter designed based on L1-approximation error possesses flat pass-bands and stop-bands to that of the least square design. A comparison has been made with other design techniques, demonstrating that BSA-ES obtains better results for designing digital IIR filters than the existing genetic algorithm (GA) based methods. Key-Words: Digital infinite impulse response (IIR) filters, Greedy algorithms, Stability, Magnitude response.
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