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Autocorrelation
Known as:
Autocorrelated
, Auto Correlation
, Autocorrelation function
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Autocorrelation, also known as serial correlation, is the correlation of a signal with itself at different points in time. Informally, it is the…
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Related topics
Related topics
50 relations
Adjoint filter
Algorithmic efficiency
Ambiguity function
Autocorrelation matrix
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Broader (1)
Signal processing
Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2010
Highly Cited
2010
New Constructions of Binary Sequences With Optimal Autocorrelation Value/Magnitude
Xiaohu Tang
,
G. Gong
IEEE Transactions on Information Theory
2010
Corpus ID: 14328327
In this paper, we give three new constructions of binary sequences of period AN with optimal autocorrelation value or optimal…
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Highly Cited
2009
Highly Cited
2009
Autocorrelation-Based Decentralized Sequential Detection of OFDM Signals in Cognitive Radios
Sachin Chaudhari
,
V. Koivunen
,
H. Poor
IEEE Transactions on Signal Processing
2009
Corpus ID: 15381397
This paper introduces a simple and computationally efficient spectrum sensing scheme for Orthogonal Frequency Division…
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Highly Cited
2006
Highly Cited
2006
Automatic Autocorrelation and Spectral Analysis
P. Broersen
2006
Corpus ID: 57879078
Basic Concepts.- Periodogram and Lagged Product Autocorrelation.- ARMA Theory.- Relations for Time Series Models.- Estimation of…
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Highly Cited
2005
Highly Cited
2005
Polyphase sequences with low autocorrelation
P. Borwein
,
Ron Ferguson
IEEE Transactions on Information Theory
2005
Corpus ID: 15472074
Low autocorrelation for sequences is usually described in terms of low base energy, i.e., the sum of the sidelobe energies, or…
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Highly Cited
2004
Highly Cited
2004
A Simple Autocorrelation Algorithm for Determining Grain Size from Digital Images of Sediment
D. Rubin
2004
Corpus ID: 14253260
ABSTRACT Autocorrelation between pixels in digital images of sediment can be used to measure average grain size of sediment on…
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Highly Cited
2004
Highly Cited
2004
Autocorrelation Functions and the Determination of Integral Length with Reference to Experimental and Numerical Data
P. O'Neill
,
D. Nicolaides
,
D. Honnery
,
J. Soria
2004
Corpus ID: 36949219
Results from a particle image velocimetry (PIV) investigation of grid turbulence were recently compared with results from a…
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Highly Cited
2002
Highly Cited
2002
Autocorrelation of Random Matrix Polynomials
J. Conrey
,
David W. Farmer
,
J. P. Keating
,
M. O. Rubinstein
,
N. Snaith
2002
Corpus ID: 18049885
Abstract: We calculate the autocorrelation functions (or shifted moments) of the characteristic polynomials of matrices drawn…
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Highly Cited
1999
Highly Cited
1999
Eliminating autocorrelation reduces biological relevance of home range estimates
S. Solla
,
R. Bonduriansky
,
R. Brooks
1999
Corpus ID: 17635327
1. Destructive subsampling or restrictive sampling are often standard procedures to obtain independence of spatial observations…
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Review
1985
Review
1985
Texture analysis Anno 1983
L. Gool
,
P. Dewaele
,
A. Oosterlinck
Computer Vision Graphics and Image Processing
1985
Corpus ID: 10053723
Highly Cited
1978
Highly Cited
1978
Spatial autocorrelation in biology: 2. Some biological implications and four applications of evolutionary and ecological interest
R. Sokal
,
N. Oden
1978
Corpus ID: 35621317
Spatial autocorrelation analysis tests whether the observed value of a variable at one locality is significantly dependent on…
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