ACM Home Page
Please provide us with feedback. Feedback
A fast hermite transform with applications to protein structure determination
Full text PdfPdf (430 KB)
Source
International Conference on Symbolic and Algebraic Computation archive
Proceedings of the 2007 international workshop on Symbolic-numeric computation table of contents
London, Ontario, Canada
SESSION: Contributed full papers table of contents
Pages: 117 - 124  
Year of Publication: 2007
ISBN:978-1-59593-744-5
Authors
Greg Leibon  Dartmouth College, Hanover, NH
Daniel Rockmore  Dartmouth College, Hanover, NH
Gregory Chirikjian  JHU, Baltimore, MD
Sponsors
SIGSAM: ACM Special Interest Group on Symbolic and Algebraic Manipulation
ACM: Association for Computing Machinery
Publisher
ACM  New York, NY, USA
Bibliometrics
Downloads (6 Weeks): 3,   Downloads (12 Months): 30,   Citation Count: 2
Additional Information:

abstract   references   cited by   index terms   collaborative colleagues  

Tools and Actions: Request Permissions Request Permissions    Review this Article  
DOI Bookmark: Use this link to bookmark this Article: http://doi.acm.org/10.1145/1277500.1277519
What is a DOI?

ABSTRACT

We discuss algorithms for a fast and stable approximation of the Hermite transform of a compactly supported function on the real line, attainable via an application of a fast algebraic algorithm for computing sums associated to a three-term relation. Trade-offs between approximation in bandwidth (in the Hermite sense) and size of the support region are addressed. Generalizations to any family of orthogonal polynomials are outlined. Applications to the determination of protein structure are discussed.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
1
T. S. Baker and R. H. Cheng. A model-based approach for determining orientations of biological macromolecules imaged by cryoelectron microscopy. J. Struct. Biol., 116:120--130, 1996.
 
2
H. Bateman. Higher Transcendental Functions, Vol. 2. McGraw-Hill (California Institute of Technology: Bateman Manuscript Project), New York, 1953.
3
 
4
R. Bulirsch and J. Stoer. Introduction to Numerical Analysis. Springer-Verlag, Berlin, 2002.
 
5
P. Burgisser, M. Clausen, , and M. A. Shokrollahi. Algebraic Complexity Theory. Springer-Verlag, Berlin, 1996.
 
6
P. C. Doerschuk and J. E. Johnson. Ab initio reconstruction and experimental design for cryo electron microscopy. IEEE Trans. Information Theory, 46(5):1714--1729, 2000.
 
7
 
8
H. P. Erickson. The fourier transform of an electron micrograph - first order and second order theory of image formation. In Advances in Optical and Electron Microscopy (R. Barer and V.E., Cosslett, eds.), pages 163--199. Academic Press, 1973.
 
9
J. Frank. Three-dimensional electron microscopy of macromolecular assemblies. Academic Press, San Diego, CA, 1996.
 
10
T. A. Jones, J.-Y. Zou, S. W. Cowan, and M. Kjeldgaard. Improved methods for building protein models in electron density maps and the location of errors in these models. Acta Crystallogr. A, 47:110--119, 1991.
 
11
 
12
D. Kortchagine and A. Krylov. Hermite foveation. In Proceedings of Graphicon 2004, pages 166--169. Moscow, 2004.
 
13
D. Kortchagine and A. Krylov. Image database retrieval by fast Hermite projection method. In Proceedings of Graphicon 2005. Moscow, 2005.
 
14
I. Krasikov. New bounds on the Hermite polynomials. http://front.math.ucdavis.edu/math.CA/0401310, 2005.
 
15
J.-B. Martens. The Hermite transform -- Applications. IEEE Trans. Acoustics, Speech, Signal Processing, 38:1607--1618, 1990.
 
16
J.-B. Martens. The Hermite transform -- Theory. IEEE Trans. Acoustics, Speech, Signal Processing, 38:1595--1606, 1990.
 
17
M. Najafi, A. Krylov, and D. Kortchagine. Image deblocking with 2-D Hermite transform. In Proceedings of Graphicon 2003, pages 180--183. Moscow, 2003.
 
18
T. J. Oldfield. High-resolution crystallographic map interpretation. Acta Crystallographica Section D-Biological Crystallography, 58:963--967, 2002.
 
19
W. Park and G. S. Chirikjian. Tomographic reconstruction using band-limited Hermite expansions. in preparartion, 2006.
 
20
W. Park and G. S. Chirikjian. Lossless image rotation using band-limited Hermite expansions. in review, 2006.
 
21
 
22
O. Scherzer. The theoretical resolution limit of the electron microscope. J. Appl. Phys., 20:20-29, January 1949.
 
23
G. Szegö. Orthogonal Polynomials. Amer. Math. Soc. Colloq. Publ. 23, Providence, RI, 1975.
 
24
M. van Heel. Imagic and its results. Ultramicroscopy, 4:117, 1979.
 
25
M. van Heel, G. Harauz, , and E. V. Orlova. A new generation of the imagic image processing system. J. Struct. Biol, 116:17--24, 1996.


Collaborative Colleagues:
Greg Leibon: colleagues
Daniel Rockmore: colleagues
Gregory Chirikjian: colleagues