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Estimation theory

Known as: Estimability, Parameter estimation, Estimation (econometrics) 
Estimation theory is a branch of statistics that deals with estimating the values of parameters based on measured empirical data that has a random… 
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Related topics

Related topics

50 relations
Additive white Gaussian noiseApproximation theoryArray processingAutomatic control

Broader (1)

Signal processing

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2012
Highly Cited
2012
Coupling detection and data association for multiple object tracking
We present a novel framework for multiple object tracking in which the problems of object detection and data association are… 
Highly Cited
2010
Highly Cited
2010
Representation of a Stochastic Traffic Bound
This paper presents a theoretical representation of a stochastic traffic bound (σ',ρ') that consists of two items, the burstiness… 
Highly Cited
2005
Highly Cited
2005
Using Landsat ETM+ Imagery to Measure Population Density in Indianapolis, Indiana, USA
Remote sensing techniques have been previously used in urban analysis, settlement detection, and population estimation. This… 
Highly Cited
1996
Highly Cited
1996
Velocity analysis using nonhyperbolic move out in transversely isotropic media
P-wave reflections from horizontal interfaces in transversely isotropic (TI) media have nonhyperbolic moveout. 
Highly Cited
1993
Highly Cited
1993
Joint signal detection and parameter estimation in multiuser communications
The problem of simultaneously detecting the information bits and estimating signal amplitudes and phases in a K-user asynchronous… 
Highly Cited
1990
Highly Cited
1990
Approaches of FIR system identification with noisy data using higher order statistics
The problem of estimating the parameters of a moving average model from the cumulant statistics of the noisy observations of the… 
Highly Cited
1989
Highly Cited
1989
Recursive speed and parameter estimation for induction machines
A hierarchical recursive algorithm is presented to estimate the rotor speed and parameters of the induction machine on the basis… 
Highly Cited
1988
Highly Cited
1988
Maximum likelihood parameter estimation by simulated annealing
  • K. Sharman
  • ICASSP-88., International Conference on Acoustics…
  • 1988
  • Corpus ID: 61692686
The author presents a method for finding the maximum-likelihood estimates of a set of signal parameters. The algorithm is based… 
Highly Cited
1977
Highly Cited
1977
Variability and sequential effects in magnitude production and estimation of auditory intensity
Magnitude production and estimation data from the same subjects are analyzed in three ways. The coefficient of variation of the… 
Highly Cited
1975
Highly Cited
1975
Signal Processing: Discrete Spectral Analysis, Detection, and Estimation
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