The VIT Transform Approach to Discrete-Time Signals and Linear Time-Varying Systems
A transform approach based on a variable initial time (VIT) formulation is developed for discrete-time signals and linear time-varying discrete-time systems or digital filters. The VIT transform is a formal power series in <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML...
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doaj-fbfbac2edace4c04bdca5c68b9a8e9e82021-03-11T00:01:26ZengMDPI AGEng2673-41172021-03-01289912510.3390/eng2010008The VIT Transform Approach to Discrete-Time Signals and Linear Time-Varying SystemsEdward W. Kamen0School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA 30332, USAA transform approach based on a variable initial time (VIT) formulation is developed for discrete-time signals and linear time-varying discrete-time systems or digital filters. The VIT transform is a formal power series in <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><msup><mi>z</mi><mrow><mo>−</mo><mn>1</mn></mrow></msup></mrow></semantics></math></inline-formula>, which converts functions given by linear time-varying difference equations into left polynomial fractions with variable coefficients, and with initial conditions incorporated into the framework. It is shown that the transform satisfies a number of properties that are analogous to those of the ordinary <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mi>z</mi></semantics></math></inline-formula>-transform, and that it is possible to do scaling of <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><msup><mi>z</mi><mrow><mo>−</mo><mi>i</mi></mrow></msup></mrow></semantics></math></inline-formula> by time functions, which results in left-fraction forms for the transform of a large class of functions including sinusoids with general time-varying amplitudes and frequencies. Using the extended right Euclidean algorithm in a skew polynomial ring with time-varying coefficients, it is shown that a sum of left polynomial fractions can be written as a single fraction, which results in linear time-varying recursions for the inverse transform of the combined fraction. The extraction of a first-order term from a given polynomial fraction is carried out in terms of the evaluation of <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><msup><mi>z</mi><mi>i</mi></msup></mrow></semantics></math></inline-formula> at time functions. In the application to linear time-varying systems, it is proved that the VIT transform of the system output is equal to the product of the VIT transform of the input and the VIT transform of the unit-pulse response function. For systems given by a time-varying moving average or an autoregressive model, the transform framework is used to determine the steady-state output response resulting from various signal inputs such as the step and cosine functions.https://www.mdpi.com/2673-4117/2/1/8z-transformtime-varying systemstime-varying difference equationsskew polynomial ringsextended Euclidean algorithmfraction decomposition |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Edward W. Kamen |
spellingShingle |
Edward W. Kamen The VIT Transform Approach to Discrete-Time Signals and Linear Time-Varying Systems Eng z-transform time-varying systems time-varying difference equations skew polynomial rings extended Euclidean algorithm fraction decomposition |
author_facet |
Edward W. Kamen |
author_sort |
Edward W. Kamen |
title |
The VIT Transform Approach to Discrete-Time Signals and Linear Time-Varying Systems |
title_short |
The VIT Transform Approach to Discrete-Time Signals and Linear Time-Varying Systems |
title_full |
The VIT Transform Approach to Discrete-Time Signals and Linear Time-Varying Systems |
title_fullStr |
The VIT Transform Approach to Discrete-Time Signals and Linear Time-Varying Systems |
title_full_unstemmed |
The VIT Transform Approach to Discrete-Time Signals and Linear Time-Varying Systems |
title_sort |
vit transform approach to discrete-time signals and linear time-varying systems |
publisher |
MDPI AG |
series |
Eng |
issn |
2673-4117 |
publishDate |
2021-03-01 |
description |
A transform approach based on a variable initial time (VIT) formulation is developed for discrete-time signals and linear time-varying discrete-time systems or digital filters. The VIT transform is a formal power series in <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><msup><mi>z</mi><mrow><mo>−</mo><mn>1</mn></mrow></msup></mrow></semantics></math></inline-formula>, which converts functions given by linear time-varying difference equations into left polynomial fractions with variable coefficients, and with initial conditions incorporated into the framework. It is shown that the transform satisfies a number of properties that are analogous to those of the ordinary <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mi>z</mi></semantics></math></inline-formula>-transform, and that it is possible to do scaling of <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><msup><mi>z</mi><mrow><mo>−</mo><mi>i</mi></mrow></msup></mrow></semantics></math></inline-formula> by time functions, which results in left-fraction forms for the transform of a large class of functions including sinusoids with general time-varying amplitudes and frequencies. Using the extended right Euclidean algorithm in a skew polynomial ring with time-varying coefficients, it is shown that a sum of left polynomial fractions can be written as a single fraction, which results in linear time-varying recursions for the inverse transform of the combined fraction. The extraction of a first-order term from a given polynomial fraction is carried out in terms of the evaluation of <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><msup><mi>z</mi><mi>i</mi></msup></mrow></semantics></math></inline-formula> at time functions. In the application to linear time-varying systems, it is proved that the VIT transform of the system output is equal to the product of the VIT transform of the input and the VIT transform of the unit-pulse response function. For systems given by a time-varying moving average or an autoregressive model, the transform framework is used to determine the steady-state output response resulting from various signal inputs such as the step and cosine functions. |
topic |
z-transform time-varying systems time-varying difference equations skew polynomial rings extended Euclidean algorithm fraction decomposition |
url |
https://www.mdpi.com/2673-4117/2/1/8 |
work_keys_str_mv |
AT edwardwkamen thevittransformapproachtodiscretetimesignalsandlineartimevaryingsystems AT edwardwkamen vittransformapproachtodiscretetimesignalsandlineartimevaryingsystems |
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