autocorrelation function
21Spectral density — In statistical signal processing and physics, the spectral density, power spectral density (PSD), or energy spectral density (ESD), is a positive real function of a frequency variable associated with a stationary stochastic process, or a… …
22List of statistics topics — Please add any Wikipedia articles related to statistics that are not already on this list.The Related changes link in the margin of this page (below search) leads to a list of the most recent changes to the articles listed below. To see the most… …
23Complementary sequences — For complementary sequences in biology, see complementarity (molecular biology). In applied mathematics, complementary sequences (CS) are pairs of sequences with the useful property that their out of phase aperiodic autocorrelation coefficients… …
24Long-tail traffic — This article covers a range of tools from different disciplines that may be used in the important science of determining the probability of rare events. The terms long range dependent , self similar and heavy tailed are very close in meaning.… …
25X-ray crystallography — can locate every atom in a zeolite, an aluminosilicate with many important applications, such as water purification. X ray crystallography is a method of determining the arrangement of atoms within a crystal, in which a beam of X rays strikes a… …
26Cross-correlation — In signal processing, cross correlation is a measure of similarity of two waveforms as a function of a time lag applied to one of them. This is also known as a sliding dot product or sliding inner product. It is commonly used for searching a long …
27Rayleigh fading — is a statistical model for the effect of a propagation environment on a radio signal, such as that used by wireless devices.Rayleigh fading models assume that the magnitude of a signal that has passed through such a transmission medium (also… …
28Autoregressive moving average model — In statistics, autoregressive moving average (ARMA) models, sometimes called Box Jenkins models after the iterative Box Jenkins methodology usually used to estimate them, are typically applied to time series data.Given a time series of data X t …
29Wiener filter — In signal processing, the Wiener filter is a filter proposed by Norbert Wiener during the 1940s and published in 1949.ref|Wiener1949 Its purpose is to reduce the amount of noise present in a signal by comparison with an estimation of the desired… …
30Spatial ecology — is a specialization of ecology and geography that is concerned with the identification of spatial patterns and their relationships to ecological events. In spatial ecology, ecological events can be explained through the detection of patterns at a …
