Fast algorithms for estimating the correlation functions of large signals

K. A. Abdikalikov; V. K. Zadiraka; O. S. Kondratenko; S. S. Mel'nikova

doi:10.1007/bf01068322

Fast algorithms for estimating the correlation functions of large signals

Cybernetics ◽

10.1007/bf01068322 ◽

1991 ◽

Vol 27 (3) ◽

pp. 414-419

Author(s):

K. A. Abdikalikov ◽

V. K. Zadiraka ◽

O. S. Kondratenko ◽

S. S. Mel'nikova

Keyword(s):

Correlation Functions ◽

Fast Algorithms

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Fast Algorithms and Efficient Statistics: N-Point Correlation Functions

ESO ASTROPHYSICS SYMPOSIA - Mining the Sky ◽

10.1007/10849171_5 ◽

2006 ◽

pp. 71-82 ◽

Cited By ~ 31

Author(s):

Andrew W. Moore ◽

Andy J. Connolly ◽

Chris Genovese ◽

Alex Gray ◽

Larry Grone ◽

...

Keyword(s):

Correlation Functions ◽

Fast Algorithms ◽

Point Correlation

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Correlation functions in the twisted N = 4 model

Nuclear Physics B ◽

10.1016/s0550-3213(97)00627-5 ◽

1997 ◽

Vol 508 (1-2) ◽

pp. 468-482

Author(s):

W Pei

Keyword(s):

Correlation Functions

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A molecular dynamics simulation for an ODIC phase. - III. Analysis of the correlation functions

Journal de Physique ◽

10.1051/jphys:01987004805082100 ◽

1987 ◽

Vol 48 (5) ◽

pp. 821-835 ◽

Cited By ~ 6

Author(s):

Ph. Buchet ◽

R.M. Pick

Keyword(s):

Molecular Dynamics ◽

Molecular Dynamics Simulation ◽

Correlation Functions ◽

Dynamics Simulation ◽

Phase Iii

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Linearized hydrodynamics of 3 He-A1 : correlation functions and hydrodynamic parameters

Journal de Physique ◽

10.1051/jphys:01982004302036900 ◽

1982 ◽

Vol 43 (2) ◽

pp. 369-380 ◽

Cited By ~ 17

Author(s):

H. Brand ◽

H. Pleiner

Keyword(s):

Correlation Functions ◽

Hydrodynamic Parameters

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CROSS-CORRELATION FUNCTIONS OF THE FIELD EMISSION FLUCTUATIONS WITH SLIT PROBED REGIONS

Le Journal de Physique Colloques ◽

10.1051/jphyscol:1989817 ◽

1989 ◽

Vol 50 (C8) ◽

pp. C8-97-C8-102 ◽

Cited By ~ 1

Author(s):

J. BEBEN ◽

CH. KLEINT ◽

R. MECLEWSKI

Keyword(s):

Field Emission ◽

Correlation Functions ◽

Cross Correlation

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RECONSTRUCTION OF THE SPATIAL SPECTRUM OF TROPOSPHERIC IRREGULARITIES USING THE CORRELATION FUNCTIONS OF THE AMPLITUDE FLUCTUATIONS

Telecommunications and Radio Engineering ◽

10.1615/telecomradeng.v70.i1.70 ◽

2011 ◽

Vol 70 (1) ◽

pp. 55-71

Author(s):

G. A. Alexeev ◽

M. V. Belobrova

Keyword(s):

Correlation Functions ◽

Spatial Spectrum ◽

Amplitude Fluctuations

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2-D Octonion Discrete Fourier Transform: Fast Algorithms - Authors

Electronic Imaging ◽

10.2352/issn.2470-1173.2017.13.ipas-200-errata1 ◽

2017 ◽

Keyword(s):

Fourier Transform ◽

Discrete Fourier Transform ◽

Fast Algorithms

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Recognition of Birds in Blurred and Illumination Images by Local Features

International Journal of Advanced Research in Computer Science and Software Engineering ◽

10.23956/ijarcsse/v7i7/0128 ◽

2017 ◽

Vol 7 (7) ◽

pp. 243

Author(s):

Suresha .M ◽

. Sandeep

Keyword(s):

Computer Vision ◽

Time Complexity ◽

Feature Detection ◽

Feature Matching ◽

Fast Algorithms ◽

Local Features ◽

Experimental Demonstration ◽

Harris Corner ◽

Blurred Image ◽

Blurred Images

Local features are of great importance in computer vision. It performs feature detection and feature matching are two important tasks. In this paper concentrates on the problem of recognition of birds using local features. Investigation summarizes the local features SURF, FAST and HARRIS against blurred and illumination images. FAST and Harris corner algorithm have given less accuracy for blurred images. The SURF algorithm gives best result for blurred image because its identify strongest local features and time complexity is less and experimental demonstration shows that SURF algorithm is robust for blurred images and the FAST algorithms is suitable for images with illumination.

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