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dc.contributor.authorTatar, Güney
dc.contributor.authorBayar, Salih
dc.contributor.authorÇiçek, İhsan
dc.date.accessioned2023-02-17T14:20:21Z
dc.date.available2023-02-17T14:20:21Z
dc.date.issued2022en_US
dc.identifier.citationTATAR, Güner, Salih BAYAR & İhsan ÇİÇEK. "Hardware Acceleration of FIR Filter Implementation on ZYNQ SoC". 2022 IEEE 16th International Conference on Application of Information and Communication Technologies (AICT), (2022).en_US
dc.identifier.urihttps://hdl.handle.net/11352/4287
dc.description.abstractFinite impulse response (FIR) filters are widely used in electronic design applications such as digital signal processing, image processing and digital communications. The demand for high performance is increasing particularly in modern real-time signal processing applications. Due to the trade-offs between the performance requirements and design constraints, it is required to develop new design approaches that not only improve the computational efficiency, but also support processors with application-specific hardware accelerators. In this study, design of a low-pass FIR filter operating at 10 MSps sampling rate with 2Mhz cutoff frequency and -40dB/decade attenuation rate is considered as a sample problem, and its performance and cost have been comparatively examined on various hardware platforms. We tested the performance of the designed filter by implementing it on a plain ARM-based processor, FPGA+ARM based System-on-Chip, and an Intel i7-based processor. As a result of the study, we observed that while the filter design implemented on the FPGA+ARM-based SoC works 8.86 times faster than the implemented on a solo ARM-based processor, 1.98 times slower than the implementation on the Intel i7-based processor. In addition, we have determined that the FIR filter design implemented on the FPGA+ARM based SoC exhibits the highest efficiency from the price/performance perspective.en_US
dc.language.isoengen_US
dc.publisherIEEEen_US
dc.relation.isversionof10.1109/AICT55583.2022.10013522en_US
dc.rightsinfo:eu-repo/semantics/embargoedAccessen_US
dc.subjectDigital Filter Designen_US
dc.subjectFinite İmpulse Response Filteren_US
dc.subjectSystem on Chipen_US
dc.subjectFPGAen_US
dc.titleHardware Acceleration of FIR Filter Implementation on ZYNQ SoCen_US
dc.typeconferenceObjecten_US
dc.relation.journal2022 IEEE 16th International Conference on Application of Information and Communication Technologies (AICT)en_US
dc.contributor.departmentFSM Vakıf Üniversitesi, Mühendislik Fakültesi, Elektrik-Elektronik Mühendisliği Bölümüen_US
dc.contributor.authorIDhttps://orcid.org/0000-0002-3664-1366en_US
dc.contributor.authorIDhttps://orcid.org/0000-0002-4600-1880en_US
dc.contributor.authorIDhttps://orcid.org/0000-0002-7881-1263en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.contributor.institutionauthorTatar, Güney


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