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Time history data are decomposed into multiple time frequency resolutions using a discrete wavelet packet transform method.
Experimental results performed in still image coding using a discrete wavelet transform confirm that the computational cost is significantly decreased compared to the previous approach.
After deriving wavelet spectrums using a discrete wavelet transform at pre-specified windows, we aim to monitor the system based on multivariate T2 chart for the parameters in the linear energy profiles.
This shift in the dominant scale can be detected using a discrete wavelet transform regardless of whether aerial photography and satellite data are used; and (2) as the woody patch size stabilises, woody cover tends to increase thereby triggering changes in intensity.
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In this work we chose to use a discrete wavelet filter, which is the simplest of all possible wavelet filters.
The authors have focused their work on the thresholding strategy, but they use a discrete wavelet transform which has a lack of shift variant.
Here, we integrate aerial photographs with high spatial resolution satellite imagery and use a discrete wavelet transform to objectively detect the dynamics in bush encroachment at two protected Zimbabwean savanna sites.
To obtain a sparse representation, the extracted layers are further decomposed using a multidimensional discrete wavelet transform (DWT), first across the view domain followed by a two-dimensional (2D) DWT applied to the image dimensions.
Initially, an original image is used to perform a discrete wavelet transform to extract a subband of the LL3 block representing a coarse scale of that image.
To improve the CCR of the discrimination models, feature extraction from the NIR spectral data was performed using an adaptive discrete wavelet transformation (DWT).
The actual vibration signals were processed using a Hilbert transform and a discrete wavelet transform.
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