Open AccessReconstruction of digital filter parameters when changing the data arrival period
Author(s) -
Viktor D. Belonogov
Publication year - 2022
Publication title -
revista amazonía investiga
Language(s) - English
Resource type - Journals
ISSN - 2322-6307
DOI - 10.34069/ai/2022.50.02.16
Subject(s) - filter design , filter (signal processing) , root raised cosine filter , digital filter , half band filter , algorithm , quantization (signal processing) , dimensionless quantity , mathematics , adaptive filter , computer science , control theory (sociology) , physics , artificial intelligence , computer vision , control (management) , mechanics
We consider the problem of forming an algorithm for the operation of a digital filter that provides processing, according to a certain law, of discrete samples x[k] of some continuous signal x(t) at the moments of quantization tк=k ∙T0, where T0 -[second]- is the discreteness period in time, and k=0,1,2,.. is the integer variable defining dimensionless discrete time. This work poses and solves the problem of forming the digital filter parameters restructuring, which ensures that the filtering properties remain unchanged when the frequency of information is changed, in particular, the constancy of the frequency and pseudo-frequency characteristics of the filter. An algorithm for restructuring the numerical parameters of the filter based on information about the time intervals of information arrival has been developed. At the stage of filter development, a special conversion matrix is formed for the specified parameters, and at the stage of filter operation in real time, an operational recalculation of the digital filter parameters is performed. For the test example, the calculation results are given, showing good tuning accuracy and stable filter characteristics with a significant change in the quantization frequency.