A simple realization scheme for one-dimensional and two-dimensional recursive digital filters derived from analog reference transfer functions is presented. The method is based on proper predistortion of the analog transfer function to obtain a new Hurwitz polynomial. Analog-to-digital transformatio
Realizability-Preserving Transformations for Digital and Analog Filters
β Scribed by Artice M. Davis
- Publisher
- Elsevier Science
- Year
- 1981
- Tongue
- English
- Weight
- 689 KB
- Volume
- 311
- Category
- Article
- ISSN
- 0016-0032
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β¦ Synopsis
The theoretical basis for the design of analog and digital filters by prototype and transformation is studied. Necessary and suficient conditions are developed for a transformation to preserue realizibility as well as the frequency response. The attendant structural properties of such transformations are developed and compared with the reactance transformations of classical analog filter theory. The superiority of direct analog-todigital transformation to the Constantinides approach is proven.
existing analog filters into their digital counterparts. In this case, the required mapping is given by s =f(z). Again, it is clear that f(z) must be a rational function with real coefficients. For realizability, Re(s) < 0 must map into IzI < 1.
The logical contrapositive states that (z[ 2 1 must map into Re(s) 20. The following definition and theorem express these ideas in a concise fashion.
π SIMILAR VOLUMES
This paper proposes a new method for realizing the general form multi-dimensional (M-D) digital filter as the combination of parallel sections consisting of cascaded one-dimensional (1-D) digital filters. First, we use the coefficients of an M-D filter to construct an M-D coefficient array; then we
In this article a multimedia software package used to design analog and digital filters is described. This package runs on an IBM-compatible PC under Windows and is called WinFiltros. With WinFiltros, students or practicing engineers should be able to complete an analog or digital filter design in a
One method of designing digital filters is to start with the magnitude squared analog function and replace (w/w,)2 (w, = cut-off frequency) by either [tan (&'/2)/tan (w, T/2)12 or [sin (&!'/2)/sin (w, T/2)12, where T is the sampling period. In the first case we get the so-called digital tan filter,