Introduction
  Introduction
Initial Proposal
Project Description

Background      Information
  Psychoacoustic Model
Filter Banks

Project Research
  Research Findings
List of MATLAB Code
Simulations

Further Work
  Extensions to Research
Wavelets

References

About Us

Extensions to Research


Here are other things that might be accomplished in the future as a continuation to this project that were not accomplished due to time constraints:

  • Implementing more of the psychoacoustic model:
    Further research could allow for better tone designation and better removal of pre- and post- echo.

  • Creating a file and file format using the compression scheme:
    Creating optimized stand-alone programs that could encode .wav files into compressed files and decode the compressed files so that they could then be played. These compressed files could then be transmitted across a medium such as the Internet.

  • Dynamic Filter Bank Sizing:
    Determine the bandwidth of each filter bank from the input so as to maximize the quality of the sound.

  • Filter Bank Implementation using Wavelets:
    Currently the filter banks use the frequency domain, which gives only localization in frequency. This can be detrimental to instruments such as drums, which are very localized in time. Wavelets, however, give both localization in time and frequency. Therefore, using filter banks that utilize wavelets might allow for better audio compression. Resource constraints prevented us from implementing this, but click here to see our inital research.

[Alex Chen]   [Nader Shehad]   [Aamir Virani]   [Erik Welsh]