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Abstract: Sampling and reconstruction are usually analyzed under the framework of linear signal processing. Powerful tools like the Fourier transform and optimum linear filter design techniques, allow for a very precise analysis of the process. In particular, an optimum linear filter of any length can be derived under most situations. Many of these tools are not available for non-linear systems, and it is usually difficult to find an optimum non-linear system under any criteria. In this paper we analyze... (Update)
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BibTeX entry: (Update)
D. A. Florencio and R. W. Schafer, "Post-sampling aliasing control for natural images," in Proc. IEEE Int. Conf. Acoustics, Speech, Signal Processing, vol. 2, 1995, pp. 893--896. http://citeseer.ist.psu.edu/florencio95postsampling.html More
@misc{ florencio95postsampling,
author = "D. Florencio and R. Schafer",
title = "Post-sampling aliasing control for natural images",
text = "D. A. Florencio and R. W. Schafer, Post-sampling aliasing control for natural
images, in Proc. IEEE Int. Conf. Acoustics, Speech, Signal Processing, vol.
2, 1995, pp. 893--896.",
year = "1995",
url = "citeseer.ist.psu.edu/florencio95postsampling.html" }
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