Uncertainty: Difference between revisions
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Below are references / links to PDFs related to the talk on uncertainty principles I gave on Friday. | |||
-Jascha, 9/11/06 | -Jascha, 9/11/06 | ||
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Gabor's famous 1946 paper introducing the uncertainty principle to signal processing: | |||
Theory of Communication; Gabor | Theory of Communication; Gabor | ||
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An entropy based uncertainty principle | An entropy based uncertainty principle: | ||
Entropy-Based Uncertainty Measures for L2(Rn), | Entropy-Based Uncertainty Measures for L2(Rn), | ||
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[http://redwood.berkeley.edu/w/images/9/9f/01468465.pdf link] | [http://redwood.berkeley.edu/w/images/9/9f/01468465.pdf link] | ||
and with more group theory | and again but with more group theory: | ||
AN ENTROPY-BASED UNCERTAINTY PRINCIPLE | AN ENTROPY-BASED UNCERTAINTY PRINCIPLE | ||
FOR A LOCALLY COMPACT ABELIAN GROUP; | FOR A LOCALLY COMPACT ABELIAN GROUP; | ||
Özaydin, Przebinda | |||
[http://redwood.berkeley.edu/w/images/9/95/2002-26.pdf link] | [http://redwood.berkeley.edu/w/images/9/95/2002-26.pdf link] | ||
Latest revision as of 08:20, 12 September 2006
Below are references / links to PDFs related to the talk on uncertainty principles I gave on Friday.
-Jascha, 9/11/06
If you want a reference for the uncertainty principle in physics I highly recommend Griffiths "Introduction to Quantum Mechanics." It is sitting on my desk for the borrowing.
Gabor's famous 1946 paper introducing the uncertainty principle to signal processing:
Theory of Communication; Gabor link
Discrete, unordered, uncertainty principle (and its relation to signal recovery . . . think roots of compressed sensing):
UNCERTAINTY PRINCIPLES AND SIGNAL RECOVERY; Donoho, Stark link
Uniqueness of sparse representations (and applicability to identifying cases where the L0 norm solution is also the L1 norm solution):
Uncertainty Principles and Ideal Atomic Decomposition; Donoho, Huo link
and a followup paper which tightens the inequality:
A Generalized Uncertainty Principle and Sparse Representation in Pairs of Bases; Elad, Bruckstein link
An entropy based uncertainty principle:
Entropy-Based Uncertainty Measures for L2(Rn), l2(Z), and l2(Z/NZ) With a Hirschman Optimal Transform for l2(Z/NZ); DeBrunner, Havlicek, Przebinda, Özaydın link
and again but with more group theory:
AN ENTROPY-BASED UNCERTAINTY PRINCIPLE FOR A LOCALLY COMPACT ABELIAN GROUP; Özaydin, Przebinda link
Application of uncertainty principle in 2-dimensions:
Uncertainty relation for resolution in space, spatial frequency, and orientation optimized by two-dimensional visual cortical filters; Daugman link
A group theoretic paper I didn't understand, but I suspect it and its predecessor are highly applicable ("In this work we study the possibility of designing a window shape that is optimal with respect to all the possible parameters of the two-dimensional affine
transform."):
Scale-Space Generation via Uncertainty Principles; Sagiv, Sochen, Zeevi link
The powerpoint file for the talk itself is here