The continuous boundary local Fourier transform, (with B. M. Larson), Wavelet Applications in Signal and Image Processing IX (A. F. Laine, M. A. Unser, and A. Aldroubi, eds.), Proc. SPIE 4478, pp.415-426, 2001.
The Local Fourier Transform (LFT) provides a nice tool for concentrating
both a signal and its Fourier transform. But there are certain properties of this
algorithm that make it unattractive for various applications.
In this paper, some of these disadvantages are explored, and
a new approach to localized Fourier analysis is proposed, the continuous
boundary local Fourier transform (CBLFT), which attempts to correct some of these
shortcomings. Results ranging from segmentation to representation cost to compression
are also presented.
Get the full paper: PDF file.
Get the official version via doi:10.1117/12.449728.
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