[Proceedings] ICASSP 91: 1991 International Conference on Acoustics, Speech, and Signal Processing 1991
DOI: 10.1109/icassp.1991.150802
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Optimizing time-frequency resolution of orthonormal wavelets

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Cited by 22 publications
(23 citation statements)
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“…where [6,10]). The product of the time duration and frequency bandwidth is the area of the resolution cell of f .…”
Section: Biorthogonal Multiwavelets With Optimum Time-frequency Resolmentioning
confidence: 96%
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“…where [6,10]). The product of the time duration and frequency bandwidth is the area of the resolution cell of f .…”
Section: Biorthogonal Multiwavelets With Optimum Time-frequency Resolmentioning
confidence: 96%
“…The case L = 2 with S (2) (z) = 0 2 leads to optimal balanced biorthogonal multiwavelets 8,6 bo , 8,6 bo , while the case L = 2 with S (2) (z) = 0 2 gives 8,10…”
Section: Optimal Multifilter Banks Of Odd Filter Lengthmentioning
confidence: 98%
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“…One of the main reasons for the great significance of the IWT in signal processing and image analysis over the classical bandpass filters is that the wavelet bandpass filter provides localized time (or space) information with the so-called zoom-in/zoom-out capability where the width of the time window is governed by the standard deviation (cf. [4,6]) for bandpass filtering can be used as one of the wavelet filter design criteria. Observe that in contrast with the well-known uncertainty principle…”
Section: Introductionmentioning
confidence: 99%
“…6 One might wonder why the enterprise of minimizing the joint space-spatial frequency uncertainty, Uf,, is of interest to the vision community. The viewprint calculations of Klein and Levi provide some justification.…”
mentioning
confidence: 99%