Abstract
In digital signal processing, the purpose of a filter is to remove unnecessary components in the signal, such as random noise. An infinite impulse response (IIR) filter is an iteration-type filter. The current pattern resulting from the IIR filter is based on the current input and output patterns. Several methods are available to detect digital IIR filters. Filters are widely used in signal processing and communication device approaches such as in channel equalization; noise reduction; radar systems; audio, speech signal, video, and biomedical signal processing, and economical, electrocardiogram, electroencephalogram, electromyography, and electrical circuit analyses. In this study, we used the Laboratory Virtual Instrument Engineering Workbench (LabVIEW) software program to analyze the design and implementation of an efficient digital filter, the results of which are presented in this paper. The important objective of this task was to design and examine different IIR filters-namely, Chebyshev, Butterworth, and Elliptic filters-using LabVIEW for the simulation processes. LabVIEW is used by graphical programming environmental engineers to implement automated research, certification, and product testing systems. In this work, the LabVIEW graphical programming tool was used because it gives accurate results in real time compared to other available simulation tools.
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