Area-Efficient Approach for Generating Quantized Gaussian Noise

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dc.contributor.authorChoi, Jaejoonko
dc.contributor.authorJung, Jaehwanko
dc.contributor.authorPark, In-Cheolko
dc.date.accessioned2016-09-08T00:50:14Z-
dc.date.available2016-09-08T00:50:14Z-
dc.date.created2016-06-20-
dc.date.created2016-06-20-
dc.date.issued2016-07-
dc.identifier.citationIEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-REGULAR PAPERS, v.63, no.7, pp.1005 - 1013-
dc.identifier.issn1549-8328-
dc.identifier.urihttp://hdl.handle.net/10203/212922-
dc.description.abstractThis paper presents an efficient method to generate quantized Gaussian noise. The proposed method is derived based on the fact that any signal received at a digital system should be quantized to several bits. On the contrary to the previous works that have focused on the precision of noise, the quantization process is taken into account in generating noise samples. As a result, the resultant bit-width of noise is significantly reduced and the computation complexity of generating Gaussian noise is also reduced by simplifying the interpolation process. The proposed architecture based on the inversion method is implemented on field-programmable gate array (FPGA) devices. Compared to the previous architecture based on the conventional inversion method, the proposed approach improves the throughput per slice by 460% while maintaining the statistical properties of Gaussian noise.-
dc.languageEnglish-
dc.publisherIEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC-
dc.titleArea-Efficient Approach for Generating Quantized Gaussian Noise-
dc.typeArticle-
dc.identifier.wosid000380346700008-
dc.identifier.scopusid2-s2.0-84974846134-
dc.type.rimsART-
dc.citation.volume63-
dc.citation.issue7-
dc.citation.beginningpage1005-
dc.citation.endingpage1013-
dc.citation.publicationnameIEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-REGULAR PAPERS-
dc.identifier.doi10.1109/TCSI.2016.2553318-
dc.contributor.localauthorPark, In-Cheol-
dc.description.isOpenAccessN-
dc.type.journalArticleArticle-
dc.subject.keywordAuthorAdditive white Gaussian noise (AWGN)-
dc.subject.keywordAuthorGaussian noise-
dc.subject.keywordAuthorGaussian noise generator (GNG)-
dc.subject.keywordAuthorinversion method-
dc.subject.keywordAuthorquantized Gaussian noise-
dc.subject.keywordPlusINVERSION METHOD-
dc.subject.keywordPlusACCURATE-
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