Results 221 to 230 of about 334,418 (265)

Subspace Sequence Estimation

2007 41st Annual Conference on Information Sciences and Systems, 2007
Recent work in the theory of subspace filtering and estimation, for example the Multistage Wiener Filter (MWF) of Goldstein et. al., has focused primarily on the case of finite dimension filtering. While this is the more practical case, as it can be implemented in a general purpose computer, it has left open the theoretical question of the behavior of ...
Michael Tinston, Yariv Ephraim
openaire   +1 more source

Quantile Estimation in Dependent Sequences

Operations Research, 1984
Standard nonparametric estimators of quantiles based on order statistics can be used not only when the data are i.i.d., but also when the data are drawn from a stationary, ϕ-mixing process of continuous random variables. However, when the random variables are highly positively correlated, the sample sizes needed for estimating extreme quantiles become
Philip Heidelberger, Peter A. W. Lewis
openaire   +2 more sources

Estimating motion in image sequences

IEEE Signal Processing Magazine, 1999
We have reviewed the estimation of 2D motion from time-varying images, paying particular attention to the underlying models, estimation criteria, and optimization strategies. Several parametric and nonparametric models for the representation of motion vector fields and motion trajectory fields have been discussed.
Christoph Stiller, Janusz Konrad
openaire   +1 more source

On the threshold effect in the estimation of chaotic sequences

The 22nd Convention on Electrical and Electronics Engineers in Israel, 2002., 2003
Chaotic sequences and chaotic dynamic systems are attractive candidates for use in signal modelling, synthesis, and analysis as well as in communications applications. In most of the above applications, there is a frequent need to estimate the chaotic sequence from noisy observations.
Ilan Hen, Neri Merhav
openaire   +1 more source

Blind sequence estimation

IEEE Transactions on Communications, 1995
Summary: Estimating the data sequence from the received signal without knowing the transmission channel is referred to as blind sequence estimation. A new blind sequence estimation scheme is proposed by exploiting the second order statistical properties of the source and the algebraic structures of the data sequence.
openaire   +2 more sources

Adaptive Channel Estimation for Maximum Likelihood Sequence Estimation

IFAC Postprint Volumes IPPV / International Federation of Automatic Control, 1992
Abstract The paper reviews the problem of adaptive channel estimation for maximum likelihood sequence estimation. It explains necessity of channel estimation for operation of the ML receiver, reviews a few of the most important receiver structures, discusses several adaptation algorithms and joint blind adaptive sequence and channel estimation.
exaly   +2 more sources

Proportion Estimation of Correlated Sequences

SIMULATION, 2001
Simulated estimates of proportions are needed in some simulation studies. We propose a quasi-in dependent method to determine the length of a simulation run so that the proportion estimates satisfy a pre-specified precision requirement. The method uses histogram approximation to generate confidence intervals with the desired precision.
openaire   +1 more source

An estimate of the sequencing error frequency in the DNA sequence databases

DNA Sequence, 1992
We have examined vector sequences fortuitously present in the EMBL sequence database as contaminating parts of submitted sequences, and found a sequencing error frequency of 3.55% in this subset of release 27 of the database. We discuss the possibility that this value may be representative for corresponding errors in the database as a whole.
T, Kristensen, R, Lopez, H, Prydz
openaire   +2 more sources