IRWIN AND JOAN JACOBS CENTER FOR COMMUNICATION AND INFORMATION TECHNOLOGIES Geometric Approach to Sampling and Communication
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چکیده
Relationships that exists between the classical, Shannontype, and geometric-based approach to sampling are investigated. Some aspects of coding and communication through a Gaussian channel problem are considered. In particular, a constructive method to determine the quantizing dimension in Zador’s theorem is provided. A geometric version of Shannon’s Second Theorem is introduced. Applications to Pulse Code Modulation and Vector Quantization of Images are provided. In addition, we sketch the geometerization of wavelets for Image Processing purposes. We also discuss the implications of the Uncertainty Principle on sampling and reconstruction of images. An extension of our sampling scheme to a certain class of infinite dimensional manifolds is considered. 1. General background 1.
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IRWIN AND JOAN JACOBS CENTER FOR COMMUNICATION AND INFORMATION TECHNOLOGIES Beyond Bandlimited Sampling: Nonlinearities, Smoothness and Sparsity
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Irwin and Joan Jacobs Center for Communication and Information Technologies on the Classical – and Not so Classical – Shannon Sampling Theorem
We proceed with our recently-introduced geometric approach to sampling of manifolds and investigate the relationship that exists between the classical, i.e. Shannon type, and geometric sampling concepts and formalism. Some aspects of coding and the Gaussian channel problem are considered. A geometric version of Shannon’s Second Theorem is introduced. Applications to Pulse Code Modulation and Ve...
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تاریخ انتشار 2008