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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




UNCERTAINTY PRINCIPLES AND SIGNAL RECOVERY  
 
DAVID L. DONOHO AND PHILIP B. STARK
 
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
[http://redwood.berkeley.edu/w/images/b/b6/Gabor.pdf link]
 
 
Discrete, unordered, uncertainty principle (and its relation to signal recovery . . . think roots of compressed sensing):
 
UNCERTAINTY PRINCIPLES AND SIGNAL RECOVERY;
Donoho, Stark
[http://redwood.berkeley.edu/w/images/5/53/SMM000906.pdf link]
[http://redwood.berkeley.edu/w/images/5/53/SMM000906.pdf link]


The powerpoint file from my talk [http://redwood.berkeley.edu/w/images/e/e7/Uncertainty.ppt 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
[http://redwood.berkeley.edu/w/images/6/6e/00959265.pdf link]
 
and a followup paper which tightens the inequality:
 
A Generalized Uncertainty Principle and Sparse Representation in Pairs of Bases;
Elad, Bruckstein
[http://redwood.berkeley.edu/w/images/e/e6/10_Sparseness_IT.pdf 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
[http://redwood.berkeley.edu/w/images/9/9f/01468465.pdf link]
 
and again but with more group theory:
 
AN ENTROPY-BASED UNCERTAINTY PRINCIPLE
FOR A LOCALLY COMPACT ABELIAN GROUP;
Özaydin, Przebinda
[http://redwood.berkeley.edu/w/images/9/95/2002-26.pdf 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
[http://redwood.berkeley.edu/w/images/b/b7/89E36D3B-BDB9-137E-CC149B33AE9BE4E9_1160.pdf 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
[http://redwood.berkeley.edu/w/images/c/c5/Fulltext.pdf link]
 
 
The powerpoint file for the talk itself is [http://redwood.berkeley.edu/w/images/e/e7/Uncertainty.ppt here]

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