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METHOD AND ALGORITHM FOR SYNTHESIS OF CONTROLLED CHEBYSHEV DIGITAL FILTERS OF THE FIRST KIND OF LOW FREQUENCIES BASED ON THE BILINEAR TRANSFORMATION METHOD
I.I. Turulin, S.M. Hussein2022-11-01Abstract ▼The article presents a technique for the synthesis of controlled digital recursive Chebyshev lowpass
filters of the first kind with an infinite impulse response. The frequency response of such filters has
ripples in the passband and is as flat as possible in the stopband. Controllability is understood as an
explicit dependence of the filter coefficients on the cutoff frequency. The technique is based on the bilinear
transformation of the transfer function of the analog low-pass filter prototype and the frequency
transformation of the amplitude-frequency characteristics of the obtained digital filter. The main idea ofthe technique is that for an analog prototype filter with a cutoff frequency of 1 rad/s, the parameters of
the transfer function of biquadratic or bilinear links, which have the dimension of frequency, will be
numerically equal to the correction factors for similar parameters of a controlled filter with an arbitrary
cutoff frequency. As an example, the synthesis of a digital Chebyshev filter of the first kind of the fifth
order is considered. In this article, the transfer function of an arbitrary order filter is represented as a
cascade connection of II order links if the filter is of an even order. In the case of an odd order greater
than one, one cascaded link of the first order is added. Despite the relative simplicity of the frequency
conversion, in its practical use for digital filters synthesized using computer-aided design of digital filters
(or using reference books containing calculated prototype low-pass filters for various approximations
of the frequency response of an ideal low-pass filter), a series arises non-trivial specific moments
that complicate the engineering use of this method of synthesizing controlled digital filters. Therefore, in
addition to the technique, a step-by-step algorithm has been developed that allows one to synthesize a
filter without knowing these moments. The algorithm is implemented in the Mathcad environment; as
an example, a digital recursive Chebyshev filter of the 1st kind of the 5th order is calculated.
The example shows the calculated coefficients of a digital controlled low-pass filter, which explicitly
depend on the cutoff frequency, the amplitude-frequency characteristics of this filter and its lowfrequency
prototype converted into a filter with the same cutoff frequency, the amplitude-frequency
characteristics are given in the same coordinates. Due to the good formalization of the algorithm, the
latter is suitable for the implementation of computer-aided design systems for controlled digital
Chebyshev low-pass filters of the first kind. -
REDUCTION APPROACH OF TRANSIENT PROCESS OVERSHOOT IN CONTROLLED TUNABLE LOW PASS DIGITAL FILTER
Al-Karawi Hussein Shakor Mogheer, I.I. Turulin2022-08-09Abstract ▼Digital signal processing is widely used in modern technology, including robotics, medical
technology, etc. Thus, the controlled digital filters are used to eliminate the constant component of
the output signal at the output of an analog-to-digital converter. This also reduces the low-frequency
interference level spread out on the frequency axis to the left of the lower boundary of the signal
spectrum. In actual situations, signals are subjected to a variety of disruptions and noises; however,
applying a filter may suppress these noises and produce a clean signal. Controllability means the
explicit dependence of the filter coefficients on the cutoff frequency. A transient occurrence can arise
in a digital filter, which is indicated in the overshoot of the signal. A change in the cutoff frequency
during filtering operation could cause this transient event. In this report, a Butterworth LPF filter is
used to offer a compensation strategy for reducing this overshoot. A transient is an overshoot (drive)
in the result timing chart. This drive is an after effect of the adjustment of the coefficients (boundaries)
of the filter during filtering (this is classified "on-the-fly tuning"). By using the MATLAB program,
the transient process resulting from the restructuring of the filter was investigated and the
formulas were checked compensation of this transient process. It was found that the application of
such compensation reduced the negative effects of the transition process. This decrease depends on
the order of the filter, the adjustment coefficient (the ratio of cut frequencies before and after adjustment)
and the moment of adjustment (for the periodic signal). -
ANALYSIS OF MATLAB SYSTEM APPLICABILITY FOR SYNTHESIS OF CONTROLLED BUTTERWORTH DIGITAL RECURSIVE IIR FILTERS
Hussein Sh. Mogheer, I. I. Turulin2021-08-11Abstract ▼A number of digital signal processing applications use controlled IIR digital recursive filters.
The word " controlled " refers to filters whose structure ratios clearly depend on the cut rate or
boundary frequencies. Controlled IIR filters can be synthesized using a variety of tools to compute
traditional, uncontrolled IIR filters. The article dealt with the synthesis uncontrolled IIR filters and
analyzed the suitability of the presentation of the results of synthesis for the construction of controlled
IIR filters. The design techniques based on MATLAB (2021a) and the fundamental concepts of IIRButterworth
digital filters were described and explained. The composited signal was processed by the
analyzed filter to find whether it met the filtering progress criteria. To check the calculated filters, the
Simulink prototype was used, as well as FDA tool of signal processing toolbox. Based on the results
obtained, a conclusion was made about the applicability of the MAT LAB (2021a) system for the
synthesis of controlled digital recursive IIR-Butterworth filters. The analyzed technique was more
efficient, faster, decreased the tasks and found the results are satisfying.








