Digital Song Analysis Using Frequency Analysis

dc.contributor.authorYao, Yilongen_US
dc.contributor.authorThompson, Johnen_US
dc.contributor.authorShaheen, Shahzaiben_US
dc.date.accessioned2022-05-03T14:34:06Zen_US
dc.date.available2022-05-03T14:34:06Zen_US
dc.date.issued2009-12-20en_US
dc.description.abstractThis module is the final report of the ELEC 301 project done by the group Curtis Thompson, Dante Soares, Shahzaib Shaheen and Yilong Yao. In this project, we created a Matlab program capable of identifying a noisy segment of a song recorded from a set of songs in a database.en_US
dc.description.noteThis work was created using the Connexions authoring platform. This platform will be retired as of the end of 2021.  This work has been migrated to PDF format for continuous access to the educational content, however any embedded links within the text to the legacy platform may no longer be accessible.en_US
dc.digitization.specificationsContent was converted from legacy website (HTML) to accessible (tagged and OCRd) PDF format.en_US
dc.format.extent29 ppen_US
dc.identifier.citationYao, Yilong, Thompson, John and Shaheen, Shahzaib. "Digital Song Analysis Using Frequency Analysis." (2009) Rice University: <a href="https://hdl.handle.net/1911/112307">https://hdl.handle.net/1911/112307</a>.en_US
dc.identifier.digitalcol11148-FINALen_US
dc.identifier.urihttps://hdl.handle.net/1911/112307en_US
dc.language.isoengen_US
dc.publisherRice Universityen_US
dc.rightsThis work is licensed under a Creative Commons Attribution License (BY 3.0)en_US
dc.rights.urihttps://creativecommons.org/licenses/by/3.0/en_US
dc.subjectScience and Technologyen_US
dc.subject.keywordDSPen_US
dc.subject.keywordELEC 301en_US
dc.subject.keywordFrequency Analysisen_US
dc.subject.keywordSong Identificationen_US
dc.titleDigital Song Analysis Using Frequency Analysisen_US
dc.type.dcmiTexten_US
dc.type.genreInstructional and educational worksen_US
dcterms.accessRightsfreely accessible, openly licensed texten_US
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