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Digital Signal Processing Filtering with GPU

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dc.contributor.authorAnwar, Sajid-
dc.contributor.authorSung, Wonyong-
dc.date.accessioned2009-08-05T06:07:01Z-
dc.date.available2009-08-05T06:07:01Z-
dc.date.issued2009-07-
dc.identifier.citation대한전자공학회 2009년 하계종합학술대회 2009. 7en
dc.identifier.urihttp://www.ieek.or.kr-
dc.identifier.urihttps://hdl.handle.net/10371/6177-
dc.description.abstractThis work designed digital filter kernels with GTX 260 GPU. Various FIR and IIR kernels are implemented. IIR filters due to its recursive nature have dependency on previously computed output samples. The dependency problem can be solved by separate computation of particular and homogeneous solutions. Comparing to CPU based implementation experimental results show speed improvement of 3 to 40 times for IIR and FIR filter kernels respectively.en
dc.description.sponsorshipThis work is supported in part by the Ministry of Education and Human Resources Development (MOEHRD) under the Brain Korea (BK21) project and in part supported by Higher Education Commission (HEC) Pakistan.en
dc.language.isoen-
dc.publisher대한전자공학회 = The Institute of Electronics Engineers of Koreaen
dc.subjectFIRen
dc.subjectIIRen
dc.subjectGPUen
dc.subjectCUDAen
dc.subjectHomogenous Solutionen
dc.subjectParticular Solutionen
dc.subjectGPGPUen
dc.titleDigital Signal Processing Filtering with GPUen
dc.typeConference Paperen
dc.contributor.AlternativeAuthor성원용-
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