Skip to search form
Skip to main content
Skip to account menu
Semantic Scholar
Semantic Scholar's Logo
Search 218,276,762 papers from all fields of science
Search
Sign In
Create Free Account
Decorrelation
Known as:
Signal whitening
, Signal-whitening
Decorrelation is a general term for any process that is used to reduce autocorrelation within a signal, or cross-correlation within a set of signals…
Expand
Wikipedia
(opens in a new tab)
Create Alert
Alert
Related topics
Related topics
25 relations
Autocorrelation
Clock drift
Correlation clustering
Cross-correlation
Expand
Broader (2)
Computational physics
Signal processing
Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2014
Highly Cited
2014
Local Decorrelation For Improved Pedestrian Detection
Woonhyun Nam
,
Piotr Dollár
,
J. Han
Neural Information Processing Systems
2014
Corpus ID: 14166959
Even with the advent of more sophisticated, data-hungry methods, boosted decision trees remain extraordinarily successful for…
Expand
Highly Cited
2013
Highly Cited
2013
Scaling big data mining infrastructure: the twitter experience
Jimmy J. Lin
,
D. Ryaboy
SKDD
2013
Corpus ID: 3346400
The analytics platform at Twitter has experienced tremendous growth over the past few years in terms of size, complexity, number…
Expand
Highly Cited
2008
Highly Cited
2008
Block diagonalization for multi-user MIMO with other-cell interference
Seijoon Shim
,
J. Kwak
,
R. Heath
,
J. Andrews
IEEE Transactions on Wireless Communications
2008
Corpus ID: 1230934
Block diagonalization is one approach for linear preceding in the multiple-input multiple-output broadcast channel that sends…
Expand
Highly Cited
2004
Highly Cited
2004
Ground-based radar interferometry for landslides monitoring: atmospheric and instrumental decorrelation sources on experimental data
G. Luzi
,
M. Pieraccini
,
+4 authors
C. Atzeni
IEEE Transactions on Geoscience and Remote…
2004
Corpus ID: 21454892
The application of ground-based radar interferometry for landslide monitoring is analyzed: a case study based on an experimental…
Expand
Highly Cited
2003
Highly Cited
2003
The effect of temporal decorrelation on the inversion of forest parameters from Pol-InSAR data
K. Papathanassiou
,
S. Cloude
IGARSS . IEEE International Geoscience and…
2003
Corpus ID: 56289235
This paper addresses the effect of temporal decorrelation on the inversion of forest parameters using Pol- InSAR techniques. The…
Expand
Highly Cited
1999
Highly Cited
1999
Comparative Assessment of Independent Component Analysis (ICA) for Face Recognition
Chengjun Liu
,
H. Wechsler
1999
Corpus ID: 16810537
This paper addresses the relative usefulness of Independent Component Analysis (ICA) for Face Recognition. Comparative…
Expand
Highly Cited
1998
Highly Cited
1998
Maximum-likelihood synchronization of a single user for code-division multiple-access communication systems
S. E. Bensley
,
B. Aazhang
IEEE Transactions on Communications
1998
Corpus ID: 34273958
Code-division multiple access (CDMA) has emerged as an access protocol well-suited for voice and data transmission. One…
Expand
Highly Cited
1995
Highly Cited
1995
Signal separation by symmetric adaptive decorrelation: stability, convergence, and uniqueness
S. V. Gerven
,
Dirk Van Compernolle
IEEE Transactions on Signal Processing
1995
Corpus ID: 45210901
The performance of signal enhancement systems based on adaptive filtering is highly dependent on the quality of the noise…
Expand
Highly Cited
1993
Highly Cited
1993
Regularized reconstruction to reduce blocking artifacts of block discrete cosine transform compressed images
Yongyi Yang
,
N. Galatsanos
,
A. Katsaggelos
IEEE Trans. Circuits Syst. Video Technol.
1993
Corpus ID: 27948401
The reconstruction of images from incomplete block discrete cosine transform (BDCT) data is examined. The problem is formulated…
Expand
Highly Cited
1993
Highly Cited
1993
Performance of a High-Resolution Polarimetric SAR Automatic Target Recognition System
L. Novak
,
G. Owirka
,
Christine M. Netishen
1993
Corpus ID: 15394619
targets were used to study the performance of these algorithms. The prescreener required a low threshold to detect most of the…
Expand
By clicking accept or continuing to use the site, you agree to the terms outlined in our
Privacy Policy
(opens in a new tab)
,
Terms of Service
(opens in a new tab)
, and
Dataset License
(opens in a new tab)
ACCEPT & CONTINUE
or Only Accept Required