Ravi Jha, Rahul Prasad, Raghav Khemka, A. Mandpura
{"title":"特定二值脉冲序列的快速DFT算法","authors":"Ravi Jha, Rahul Prasad, Raghav Khemka, A. Mandpura","doi":"10.1109/ICCSP48568.2020.9182054","DOIUrl":null,"url":null,"abstract":"Discrete Fourier Transform (DFT) finds application in various engineering domains such as communication systems, image and speech processing, biomedical signal and seismic signal processing etc. A computationally efficient algorithm for computing DFT was given by Cooley-Tukey, thereby reducing the time complexity of DFT calculation from O(N2) to O(NlogN). In this paper, we present an algorithm to compute DFT of specific binary pulse sequences. Here, we demonstrate that for these specific pulse sequences, the complexity of DFT computation is O(N).","PeriodicalId":321133,"journal":{"name":"2020 International Conference on Communication and Signal Processing (ICCSP)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A Faster DFT Algorithm for Specific Binary Pulse Sequences\",\"authors\":\"Ravi Jha, Rahul Prasad, Raghav Khemka, A. Mandpura\",\"doi\":\"10.1109/ICCSP48568.2020.9182054\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Discrete Fourier Transform (DFT) finds application in various engineering domains such as communication systems, image and speech processing, biomedical signal and seismic signal processing etc. A computationally efficient algorithm for computing DFT was given by Cooley-Tukey, thereby reducing the time complexity of DFT calculation from O(N2) to O(NlogN). In this paper, we present an algorithm to compute DFT of specific binary pulse sequences. Here, we demonstrate that for these specific pulse sequences, the complexity of DFT computation is O(N).\",\"PeriodicalId\":321133,\"journal\":{\"name\":\"2020 International Conference on Communication and Signal Processing (ICCSP)\",\"volume\":\"24 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-07-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 International Conference on Communication and Signal Processing (ICCSP)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICCSP48568.2020.9182054\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 International Conference on Communication and Signal Processing (ICCSP)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCSP48568.2020.9182054","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A Faster DFT Algorithm for Specific Binary Pulse Sequences
Discrete Fourier Transform (DFT) finds application in various engineering domains such as communication systems, image and speech processing, biomedical signal and seismic signal processing etc. A computationally efficient algorithm for computing DFT was given by Cooley-Tukey, thereby reducing the time complexity of DFT calculation from O(N2) to O(NlogN). In this paper, we present an algorithm to compute DFT of specific binary pulse sequences. Here, we demonstrate that for these specific pulse sequences, the complexity of DFT computation is O(N).