Skip to search formSkip to main content
You are currently offline. Some features of the site may not work correctly.

Autocorrelation matrix

The autocorrelation matrix is used in various digital signal processing algorithms. It consists of elements of the discrete autocorrelation function… Expand
Wikipedia

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2015
2015
Detectability of closely spaced sinusoids in a noisy signal using MUltiple SIgnal Classifier (MUSIC) depends to a great extent on… Expand
  • figure 1
  • figure 2
  • figure 3
  • figure 4
Is this relevant?
Highly Cited
2007
Highly Cited
2007
Fault detection in alternating-current electrical machines that is based on frequency analysis of stator current has been the… Expand
  • figure 1
  • figure 2
  • figure 3
  • table I
  • figure 4
Is this relevant?
2006
2006
Abstract A finite sample modification of a test by Pena and Rodriguez is proposed. The new modified test is asymptotically… Expand
  • table 1
  • table 5
  • table 4
  • table 6
  • table 7
Is this relevant?
2004
2004
Among the numerous approaches proposed for the analysis of spatial processes, the autocorrelation index (Geary, 1954) introduced… Expand
  • figure 1
Is this relevant?
1993
1993
Following the information-theoretic approach to model selection, the authors develop criteria for detection of the number of… Expand
  • table V
  • table IV
  • table VI
  • table VI
Is this relevant?
Highly Cited
1988
Highly Cited
1988
A major problem in using SVD (singular-value decomposition) as a tool in determining the effective rank of a perturbed matrix is… Expand
Is this relevant?
1987
1987
A simple approximation to the behavior of the LMS adaptive filter as a discrete transfer function is developed. This… Expand
  • figure 1
  • figure 2
  • figure 3
  • figure 4
  • figure 5
Is this relevant?
1986
1986
Levinson's Toeplitz solver breaks down if any leading principal minors are zero, and recently methods have been proposed to… Expand
Is this relevant?
1985
1985
Minimum entropy deconvolution (MED) is a technique developed by Wiggins (1978) with the purpose of separating the components of a… Expand
  • figure 1
  • figure 2
  • figure 3
  • figure 4
  • figure 5
Is this relevant?
1982
1982
It is shown that the partial trigonometrie moment problem provides an appropriate unifying framework for some speech modelling… Expand
Is this relevant?