Real-Time Graphics Processing Unit Implementation of Whitening Filters for Audio Signals

This work investigates a real-time implementation of autoregressive and pitch-prediction whitening filters for use in audio feedback suppression. The work begins by analyzing whitening filters performance for synthesized and recorded test audio signals. A MATLAB simulation of the adaptive feedback cancellation (AFC) algorithm shows pitch-prediction to be the most computationally intensive aspect of the feedback cancellation algorithm. A DSP processor implementation is demonstrated in which the autoregressive filter implementation outperforms MATLAB implementation computation time while the pitch-prediction implementation fails to meet real-time requirements. A successful real-time implementation of the pitch-prediction algorithm is demonstrated on NVIDIA graphics processing unit (GPU) with substantial speed gains compared to the MATLAB implementation.

Author

• Osman, Omer A.S.

Language

• en

Keyword

• adaptive feedback cancellation
• audio feedback
• digital signal processing
• graphic processing units gpu
• autoregressive modeling
• pitch prediction

Date created

• 2011

Type of Work

• Master's Thesis

License

• All rights reserved

Rights statement

• In Copyright

GW Unit

• Electrical Engineering

Degree

• M.S.

Advisor

• Doroslovački, Milo

Committee Member(s)

• Li, Alex
• Venkataramani, Guru P

Persistent URL

•  https://scholarspace.library.gwu.edu/etd/n870zq96x