Short-time homomorphic analysis
Homomorphic deconvolution has been successfully applied in a variety of areas. In many cases of interest, including speech and seismic processing, the signals to be analyzed are non-stationary and approximately follow a convolutional model only on a short-time basis. Thus, a window is applied to the...
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Published in | ICASSP '77. IEEE International Conference on Acoustics, Speech, and Signal Processing Vol. 2; pp. 716 - 722 |
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Main Authors | , , |
Format | Conference Proceeding |
Language | English |
Published |
IEEE
1977
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Subjects | |
Online Access | Get full text |
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Summary: | Homomorphic deconvolution has been successfully applied in a variety of areas. In many cases of interest, including speech and seismic processing, the signals to be analyzed are non-stationary and approximately follow a convolutional model only on a short-time basis. Thus, a window is applied to the data. In this paper a first attempt is made to understand the interaction between short-time windowing and homomorphic deconvolution. A model for short-time homomorphic analysis is proposed, which provides a framework for the interpretation of window effects encountered in speech and seismic data processing. |
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DOI: | 10.1109/ICASSP.1977.1170314 |