FPGA design of a high- resolution fır band-pass filter by using labvıew environment

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dc.authoridİhsan Çiçek /0000-0002-7881-1263
dc.authoridSalih Bayar /0000-0002-4600-1880
dc.authoridGüner Tatar /0000-0002-3664-1366
dc.authorwosidİhsan Çiçek /LQZ-0042-2024
dc.contributor.authorÇiçek, İhsan
dc.contributor.authorBayar, Salih
dc.contributor.authorTatar, Güner
dc.date.accessioned2025-04-17T06:39:43Z
dc.date.available2025-04-17T06:39:43Z
dc.date.issued1 Aralık 2021
dc.departmentİstinye Üniversitesi, Mühendislik ve Doğa Bilimleri Fakültesi, Elektrik-Elektronik Mühendisliği Bölümü
dc.description.abstractDesigners regularly use Finite Impulse Response (FIR) filters to fulfil the need for current electronic design applications such as signal or image processing and digital communications because of the remarkable selectivity computational efficiency. Fast and efficient information processing requires a dedicated microprocessor or a digital signal processor that may not always be available or provide enough performance. In such scenarios, designers can configure FPGAs for processing digitized signals. One of the most popular signal processing applications is filtering. Unlike the Infinite Impulse Response (IIR) filters, FIR filters do not have analog equivalent circuits. For this purpose, continuous time-discrete time conversion is not possible with the help of transforms. Because analog filters cannot have a finite impulse response, the design methods of FIR filters can be made as windowing method, pulse response truncation, and optimal filter design method. Considering this information, it aims to digitally separate two signals with different frequencies (2.4 kHz and 4.2 kHz), which are given to the input as analog, to obtain the desired information signal and suppress other signals. We preferred to use LabVIEW graphical programming language to get the digital FIR filter coefficients. We selected rectangular windowing, set the digital filter's sampling frequency as 18720 Hz, and determined the filter's coefficient with high-frequency resolution as 24. Using filter coefficients in the real-time FPGA-VHDL environment, we showed the performance and resource consumption. LabVIEW is used for simulation as well as obtaining filter coefficients. In addition, we compared both simulation and real-time FPGA-VHDL application output waveforms and examined both platforms' advantages and disadvantages.
dc.identifier.citationTatar, G., Bayar, S., & Cicek, I. (2021). FPGA Design of a High- Resolution FIR Band-Pass Filter by Using LabVIEW Environment. Avrupa Bilim Ve Teknoloji Dergisi(29), 273-277. https://doi.org/10.31590/ejosat.1016363
dc.identifier.doi10.31590/ejosat.1016363
dc.identifier.endpage277
dc.identifier.issn2148-2683
dc.identifier.issue29
dc.identifier.startpage273
dc.identifier.urihttps://doi.org/10.31590/ejosat.1016363
dc.identifier.urihttps://dergipark.org.tr/tr/pub/ejosat/issue/65857/1016363
dc.identifier.urihttps://hdl.handle.net/20.500.12713/6096
dc.institutionauthorÇiçek, İhsan
dc.institutionauthoridİhsan Çiçek /0000-0002-7881-1263
dc.language.isoen
dc.publisherOsman Sağdıç
dc.relation.ispartofAvrupa Bilim ve Teknoloji Dergisi
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subjectDigital filter design
dc.subjectFinite Impulse Response (FIR)
dc.subjectFPGA-VHDL
dc.subjectLabVIEW
dc.titleFPGA design of a high- resolution fır band-pass filter by using labvıew environment
dc.title.alternativeLabvıew ortamını kullanarak yüksek frekans çözünürlüklü fır bant geçiren filtrenin fpga tasarımı
dc.typeArticle

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