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24 August 2017 Framed frames for data frames
Nate Strawn
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Proceedings Volume 10394, Wavelets and Sparsity XVII; 103941A (2017) https://doi.org/10.1117/12.2274778
Event: SPIE Optical Engineering + Applications, 2017, San Diego, California, United States
Abstract
We present a computationally efficient, data-driven procedure for constructing linear isometric embeddings of high-dimensional data (data frames) into spaces of smooth images, and thereby obtain tight frame dictionaries for the data space using tight frame dictionaries for the image space (“framed frames” – wavelets, curvelets, shearlets, etc.). Experiments indicate that data are more compressible in these induced dictionaries when compared to compressibility in terms of principal components.
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Nate Strawn "Framed frames for data frames", Proc. SPIE 10394, Wavelets and Sparsity XVII, 103941A (24 August 2017); https://doi.org/10.1117/12.2274778
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KEYWORDS
Signal processing
Image processing
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