-
Autocorrelation,
sometimes known as
serial correlation in the
discrete time case,
measures the
correlation of a
signal with a dela**** copy of itself....
- In optics,
various autocorrelation functions can be
experimentally realized. The
field autocorrelation may be used to
calculate the
spectrum of a source...
- In time
series analysis, the
partial autocorrelation function (PACF)
gives the
partial correlation of a
stationary time
series with its own
lagged values...
- Moran's I is a
measure of
spatial autocorrelation developed by
Patrick Alfred Pierce Moran.
Spatial autocorrelation is
characterized by a correlation...
-
differencing it if necessary), and
using plots of the
autocorrelation (ACF) and
partial autocorrelation (PACF)
functions of the
dependent time
series to decide...
- statistics. For example, in time
series analysis, a plot of the
sample autocorrelations r h {\displaystyle r_{h}\,}
versus h {\displaystyle h\,} (the time...
-
Phylogenetic autocorrelation also
known as Galton's problem,
after Sir
Francis Galton who
described it, is the
problem of
drawing inferences from cross-cultural...
-
analysis and
market forecasting.
There are two
algorithms based on
autocorrelation functions that can
identify the
dominant noise type in a data set provided...
- Wiener–Khinchin–Einstein
theorem or the Khinchin–Kolmogorov theorem,
states that the
autocorrelation function of a wide-sense-stationary
random process has a
spectral decomposition...
-
Barker sequence is a
finite sequence of
digital values with the
ideal autocorrelation property. It is used as a
synchronising pattern between the sender...
