Exact lower bound for proportion of maximally embedded beamlet

Applied Mathematics Letters

Volumn 18, Issue 5, 2005, Pages 529-534

  Huo, Xiaoming ^a  

^a Georgia Institute of Technology   (United States)

Author keywords

Beamlets; Detecting line segments; Multiscale geometric analysis

Indexed keywords

ALGORITHMS; BOUNDARY CONDITIONS; COMPUTATIONAL GEOMETRY; COMPUTATIONAL METHODS; PROBLEM SOLVING; STATISTICAL METHODS; THEOREM PROVING;

BEAMLETS; DETECTING LINE SEGMENTS; DYADIC PARTITIONING; GENERALIZED LIKELIHOOD RATIO TEST (GLRT); MULTISCALE GEOMETRIC ANALYSIS;

MAXIMUM LIKELIHOOD ESTIMATION;

EID: 14644405988     PISSN: 08939659     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.aml.2004.08.007     Document Type: Article

References (5)

1. D.L. Donoho Wedgelets: nearly minimax estimation of edges Annals of Statistics 27 3 1999 859 897
2. D. Donoho, and X. Huo Beamlets and multiscale image analysis T.J. Barth T. Chan R. Haimes Springer Lecture Notes in Computational Science and Engineering vol. 20 2001 149 196
3. X. Huo, Sparse image representation via combined transforms, Ph.D. Thesis, Stanford, August 1999
4. E. Arias-Castro, D.L. Donoho, X. Huo, Asymptotically optimal detection of geometric objects by fast multiscale methods, 2003 (submitted for publication)
5. A. Averbuch, R.R. Coifman, D.L. Donoho, M. Israeli, J. Waldén, Fast slant stack: a notion of Radon transform for data in a Cartesian grid which is rapidly computible, algebraically exact, geometrically faithful and invertible, Technical Report, Department of Statistics, Stanford University, 2001