Concept

Cross-covariance

Related publications (56)

Transient analysis of adaptive filters with error nonlinearities

The paper develops a unified approach to the transient analysis of adaptive filters with error nonlinearities. In addition to deriving earlier results in a unified manner, the approach also leads to new performance results without restricting the regressio ...

IEEE2003

Transient analysis of data-normalized adaptive filters

Ali H. Sayed

Abstract: This paper develops an approach to the transient analysis of adaptive filters with data normalization. Among other results, the derivation characterizes the transient behavior of such filters in terms of a linear time-invariant state-space model ...

IEEE2003

Coding properties of spiking neurons: reverse- and cross-correlations

Wulfram Gerstner

What is the meaning' of a single spike? Spike-triggered averaging (reverse correlations') yields the typical input just before a spike. Similarly, cross-correlations describe the probability of firing an output spike given (one additional) presynaptic in ...

Elsevier2001

Dependence Structure of Uniform Spacings

Eva Maria Restle

This note derives a general, exact formula for the covariance of products of the spacings of a uniform sample in order to determine their order of magnitude. It compares the results with an estimation of the order obtained by applying the Cauchy--Schwarz i ...

1999

Measurement of cross-correlation of fluctuations of dipolar couplings and anisotropic chemical shifts by selective spin locking

Geoffrey Bodenhausen, Robert Konrat

New exptl. methods are presented that allow one to measure cross-correlation between the fluctuations of dipolar interactions and chem. shift anisotropy (CSA) in scalar coupled systems with two and three spins I = 1/2 in isotropic soln. The methods involve ...

1992

Robust regression through robust covariances

Stephan Morgenthaler

This paper discusses the estimation of regression parameters after summarizing the data by a covariance matrix of the concatenated vector of explanatory variables and response variable. A robust estimate of the covariance matrix leads to a robust regressio ...

1986

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