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Cross-covariance
Known as:
Covariance (disambiguation)
, Cross covariance
, Cross-covariance matrix
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In probability and statistics, given two stochastic processes and , the cross-covariance is a function that gives the covariance of one process with…
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Related topics
Related topics
10 relations
Autocorrelation
Convolution
Covariance mapping
Cross-correlation
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Broader (1)
Signal processing
Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2018
Highly Cited
2018
Current unknowns in the three-neutrino framework
F. Capozzi
,
E. Lisi
,
A. Marrone
,
A. Marrone
,
A. Palazzo
,
A. Palazzo
Progress in Particle and Nuclear Physics
2018
Corpus ID: 73617706
Highly Cited
2016
Highly Cited
2016
Direction of Arrival Estimation for Off-Grid Signals Based on Sparse Bayesian Learning
Xiaohuan Wu
,
Weiping Zhu
,
Jun Yan
IEEE Sensors Journal
2016
Corpus ID: 32037479
The inherent limitation of the predefined spatial discrete grids greatly restricts the precision and feasibility of many sparse…
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Highly Cited
2014
Highly Cited
2014
Multi-sensor distributed fusion filtering for networked systems with different delay and loss rates
Na Li
,
Shu-Li Sun
,
Jing Ma
Digit. Signal Process.
2014
Corpus ID: 1471809
Highly Cited
2013
Highly Cited
2013
Distributed weighted robust Kalman filter fusion for uncertain systems with autocorrelated and cross-correlated noises
Jianxin Feng
,
Zidong Wang
,
Ming Zeng
Information Fusion
2013
Corpus ID: 39528645
Highly Cited
2013
Highly Cited
2013
Wideband Spectrum Sensing Based on Sub-Nyquist Sampling
Chia-Pang Yen
,
Yingming Tsai
,
Xiaodong Wang
IEEE Transactions on Signal Processing
2013
Corpus ID: 5042350
In this paper, we consider the problem of locating multiple active spectrum subbands in a wide range of frequency bands. A major…
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Highly Cited
2010
Highly Cited
2010
Cross-covariance functions for multivariate random fields based on latent dimensions
T. Apanasovich
,
M. Genton
2010
Corpus ID: 31898764
The problem of constructing valid parametric cross-covariance functions is challenging. We propose a simple methodology, based on…
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Highly Cited
2008
Highly Cited
2008
Curve Forecasting by Functional Autoregression
V. Kargin
,
A. Onatski
2008
Corpus ID: 55931320
Highly Cited
2008
Highly Cited
2008
A turning bands program for conditional co-simulation of cross-correlated Gaussian random fields
X. Emery
Computational Geosciences
2008
Corpus ID: 206377347
Highly Cited
2005
Highly Cited
2005
Deembedding static nonlinearities and accurately identifying and modeling memory effects in wide-band RF transmitters
Taijun Liu
,
S. Boumaiza
,
F. Ghannouchi
IEEE transactions on microwave theory and…
2005
Corpus ID: 15544135
In this paper, a robust modeling technique for memoryless wide-band radio frequency transmitters using a dynamic exponential…
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Highly Cited
2005
Highly Cited
2005
Multisensor multitarget bias estimation for general asynchronous sensors
Xiangdong Lin
,
Y. Bar-Shalom
,
Thiagalingam Kirubarajan
IEEE Transactions on Aerospace and Electronic…
2005
Corpus ID: 18493889
A novel solution is provided for the bias estimation problem in multiple asynchronous sensors using common targets of opportunity…
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