The paper presents a novel iterative methodology for the design of FIR filters based on an approssimation of the desired filter frequency response using a Gabor system generated by the Gaussian function. The proposed method exhibits simplicity of implementation, comparable to that of window-based design methods and ensures accuracy in the fulfillment of design requirements, comparable to the one achieved by the Parks- McClellans method. Furthermore, two other advantages of this method are: closed-form formula for the tap coefficients of the filter and the smooth, monotonically decreasing behaviour of the frequency response from DC to infinite frequency.
A New Iterative FIR Filter Design Approach using a Gaussian Approximation / Capizzi, Giacomo; Coco, Salvatore; Lo Sciuto, Grazia; Napoli, Christian. - In: IEEE SIGNAL PROCESSING LETTERS. - ISSN 1070-9908. - 25:11(2018), pp. 1615-1619. [10.1109/LSP.2018.2866926]
A New Iterative FIR Filter Design Approach using a Gaussian Approximation
Napoli, Christian
2018
Abstract
The paper presents a novel iterative methodology for the design of FIR filters based on an approssimation of the desired filter frequency response using a Gabor system generated by the Gaussian function. The proposed method exhibits simplicity of implementation, comparable to that of window-based design methods and ensures accuracy in the fulfillment of design requirements, comparable to the one achieved by the Parks- McClellans method. Furthermore, two other advantages of this method are: closed-form formula for the tap coefficients of the filter and the smooth, monotonically decreasing behaviour of the frequency response from DC to infinite frequency.File | Dimensione | Formato | |
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