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These sub bands are then vector quantized.
These sub bands are then combined using inverse wavelet transform [6-8].
Sub band filtering decomposes the image into various sub bands of different frequencies.
B) Tiling is performed on the sub bands Δ1 and Δ2.
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The recognition performance is ranked corresponding to different division ways starting with the highest performance: 4 sub-bands, 2 sub-bands, 3 sub-bands, 8 sub-bands, 6 sub-bands, and 12 sub-bands.
It consists of 40 different sub-bands.
This results into four sub-bands.
Using sub-bands of the resultant image, one can estimate sub-bands of HR image.
Figure 14 The comparison in contribution rate derived from 4 sub-bands and 2 sub-bands.
This gives 12 sub-bands with finer frequency resolution than the Mel sub-bands.
The 3D sub-bands are viewed as third-order tensors.
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