![]() ![]() ![]() The main result of the paper is the development of an algorithm for an infinite impulse response (IIR) filter design that, theoretically, is impossible to be implemented using the traditional approach. In this paper, we introduce an original approach to algorithm development and digital filter design using a computer algebra system. The computer algebra systems successfully overcome some problems encountered in the traditional numeric-only approach. ![]() The drawback of the numeric-based tools is that they usually generate a tremendous amount of numeric data, and the user might easily lose insight into the phenomenon being investigated. Design and implementation of sharp variable filters is illustrated by means of examples.Digital filter design can be performed very efficiently using modern computer tools. The analytical methods are derived for the filter design and for the tuning procedure. In the tuning procedure, the new coefficient values are obtained by the polynomial evaluation consisting of several multiplications and additions. Low-degree approximating polynomials are developed to represent coefficients of the EMQF subfilters and coefficients of the compensating section in terms of the passband cut-off frequency. For the tuning of the cut-off frequency we propose a simple version of the spectral parameter approximation technique. The stopband attenuation is achieved by cascading EMQF subfilters, and the compensation section is designed to minimize the overall passband ripple. A higher order IIR filter with a sharp transition band is constructed by using several identical low-order EMQF (elliptic minimal Q-factors) filters and an additional compensating section. A new filter class with variable cut-off frequency is designed based on elliptic filter sharpening technique. ![]()
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |