A Wavelet Approach to Speech and Background Coding

Period of Performance: 09/22/1995 - 09/21/1996


Phase 1 STTR

Recipient Firm

Atlantic Coast Technologies, Inc.
624 Concerto Lane
Silver Spring, MD 20901
Principal Investigator
Firm POC

Research Institution

George Mason University
4400 University Drive MS 4C6
Fairfax, VA 22030
Institution POC

Research Topics


This proposal addresses the problem of coding speech and audio signals for transmission, while preserving the integrity of background noise and information that can be useful to intelligence analysists. A wavelet transform approach to signal coding is suggested, since its performance does not depend on a particular production model of speech. We propose to develop and test a prototype coding algorithm using the discrete wavelet transform. Subsequent phases of the program will include the implementation in real-time hardware.