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Item Information   Holdings       More by this author     Blakemore, Emily Anne.     Subjects     Wavelets -- Mathematics.     Music -- Data processing.     Computer sound processing     MP3 (Audio coding standard)     Internet -- Computer programs.     MSE Project.     Browse Catalog     by author:      Blakemore, Emily Anne.       by title:      Audio signal compres...         MARC Display

Audio signal compression enhancements / Emily Anne Blakemore. by Blakemore, Emily Anne. Subjects Wavelets -- Mathematics.   Music -- Data processing.   Computer sound processing   MP3 (Audio coding standard)   Internet -- Computer programs.   MSE Project. Description:  83 leaves : ill. ; 29 cm. Contents:  Advisor: Dr. Eric Durant. Committee Members: Dr. Steven Reyer, Dr. Bruce O'Neill. Introduction -- Background -- Review of literature -- Methodology -- Subjective test -- Future work -- Conclusion -- References -- Bibliography -- Appendix A) Source code; B)Bit-rate estimates; C) Subjective test; D) Test results. This project is an investigation of optimization techniques for music-signal compression algorithms. More specifically, the details of the MP3 algorithm and similar compression algorithms have been researched and ways to alter and expand on those characteristics, the filter bank decomposition in particular, have been identified. The primary focus is compressing audio signals for downloading music off the Internet. The principal hypothesis tested for this project was that replacing the filter bank used in the MP3 algorithm with a discrete wavelet transform would be beneficial to the coding process and help to increase the compression ratio. To test the hypothesis, a working testable audio codec (coder/decoder) has been built and implemented in MATLAB using the Wavelet Toolbox and originally designed MATLAB source codes. In addition, a subjective sound-quality test has been performed on human listeners following the hypothesis test model, borrowed from classical statistics. Bit rate estimates were calculated in MATLAB to gain knowledge of the codec and used to make further hypotheses regarding the tradeoffs between signal distortion and bit rate. It was found that the wavelet transform is a powerful tool that should be utilized in the signal compression world.   Copy/Holding information Location Collection Call No. Status   Walter Schroeder Library Master's Theses AC805 .B5956 2005 Available Add Copy to MyList Format: HTMLPlain textDelimited Subject:   Email to:

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