Digital Song Analysis Using Frequency Analysis

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dc.contributor.authorYao, Yilong
dc.contributor.authorThompson, John
dc.contributor.authorShaheen, Shahzaib
dc.date.accessioned2022-05-03T14:34:06Z
dc.date.available2022-05-03T14:34:06Z
dc.date.issued2009-12-20
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.
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.
dc.digitization.specificationsContent was converted from legacy website (HTML) to accessible (tagged and OCRd) PDF format.
dc.format.extent29 pp
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>.
dc.identifier.digitalcol11148-FINAL
dc.identifier.urihttps://hdl.handle.net/1911/112307
dc.language.isoeng
dc.publisherRice University
dc.rightsThis work is licensed under a Creative Commons Attribution License (BY 3.0)
dc.rights.urihttps://creativecommons.org/licenses/by/3.0/
dc.subjectScience and Technology
dc.subject.keywordDSP
dc.subject.keywordELEC 301
dc.subject.keywordFrequency Analysis
dc.subject.keywordSong Identification
dc.titleDigital Song Analysis Using Frequency Analysis
dc.type.dcmiText
dc.type.genreInstructional and educational works
dcterms.accessRightsfreely accessible, openly licensed text
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