1. IEEE Signal Processing Magazine
2. Signal Processing Digital Library*
3. Inside Signal Processing Newsletter
4. SPS Resource Center
5. Career advancement & recognition
6. Discounts on conferences and publications
7. Professional networking
8. Communities for students, young professionals, and women
9. Volunteer opportunities
10. Coming soon! PDH/CEU credits
Click here to learn more.
News and Resources for Members of the IEEE Signal Processing Society
Joachim Thiemann (McGill University), “A Sparse Auditory Envelope Representation with Iterative Reconstruction for Audio Coding”, Advisor: Prof. Peter Kabal
In this thesis, the author investigates perceptual domain coding by using a representation designed to contain only the audible information regardless of whether reconstruction can be performed efficiently. The perceptual representation is based on a multichannel Basilar membrane model, where each channel is decomposed into envelope and carrier components. It is assumed that the information in the carrier is also present in the envelopes and discard the carrier components. The envelope components are sparsified using a transmultiplexing masking model and form a sparse auditory envelope representation (SAER). An iterative reconstruction algorithm for the SAER is evaluated using subjective and objective testing on speech and audio signals. It is found that some types of audio signals are reproduced very well using this method whereas others exhibit audible distortion. Except in specific cases where part of the carrier information is required, most of the audible information is present in the SAER and can be reconstructed using iterative methods.
|Call for Officer Nominations: Vice President-Technical Directions
|2 February 2024
|Nominate an IEEE Fellow today!
|7 February 2024
|Deadline Extended: Call for Nominations for IEEE SPS Editors-in-Chief
|15 February 2024
|Call for Nominations: Society-Level Fellow Search Committee
|1 March 2024
|Call for Nominations: IEEE T-MM 2024 Multimedia Prize Paper Award
|31 March 2024
© Copyright 2024 IEEE – All rights reserved. Use of this website signifies your agreement to the IEEE Terms and Conditions.
A not-for-profit organization, IEEE is the world's largest technical professional organization dedicated to advancing technology for the benefit of humanity.