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On representing signals using only timing information
1Department of Electrical Engineering, University of Rhode Island, Kingston 02881, USA. kumar@ele.uri.edu
The Journal of the Acoustical Society of America
|January 5, 2002
Summary
Researchers developed novel adaptive algorithms for real-zero conversion (RZC) to create covert zero crossings (CoZeCs). These CoZeCs enable unique signal representation and reconstruction, showing promise for speech applications.
Area of Science:
- Signal Processing
- Information Theory
Background:
- Real-zero (RZ) signals are uniquely represented by their zero crossings.
- Arbitrary bandpass signals can be mapped to RZ signals via real-zero conversion (RZC).
Purpose of the Study:
- To propose novel signal-adaptive RZC algorithms.
- To introduce covert zero crossings (CoZeCs) for signal representation.
Main Methods:
- Developed adaptive filtering analogs for RZC.
- Extended CoZeCs representation from analytic to real-valued signals.
- Applied algorithms to synthetic and speech signals.
Main Results:
- Demonstrated invertible mapping of bandpass signals to RZ signals.
- Showcased that signals can be reconstructed from their CoZeCs.
- Validated the approach on synthetic and speech data.
Conclusions:
- Proposed adaptive RZC algorithms effectively generate CoZeCs.
- CoZeCs provide a robust method for signal representation and reconstruction.
- This technique holds significant potential for speech processing applications.