Eugene J. Zalubas

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Images and signals may be represented by forms invariant to time shifts, spatial shifts, frequency shifts, and scale changes. Advances in time-frequency analysis and scale transform techniques have made this possible. However, factors such as noise contamination and " style " differences complicate this. An example is found in text, where letters and words(More)
Dierent signal realizations generated from a given source may not appear the same. Time shifts, frequency shifts, and scales are among the signal variations commonly encountered. Time-frequency distributions (TFDs) covariant to time and frequency shifts and scale changes re BLOCKINect these variations in a predictable manner. Based on such TFDs,(More)
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