The comparison of a waveform to itself. Autocorrelation is useful in the identification of multiples or other regularly repeating signals, and in designing deconvolution filters to suppress them.

The correlation of a variable with itself over successive time intervals. Sometimes called serial correlation.

The correlation of a time series with its own past values.

The simple linear correlation of a time series with its own past; that is, the correlation of the sequence of values x(t) with the sequence of values x(t + τ) occurring τ units of time later. The time [..]

the Correlation between values of a signal at different times. A signal processing tool for finding repeating patterns, such as the presence of a Periodic signal(s) 'buried in noise'. It is [..]

Definition The correlation of a variable with itself over successive time intervals. also called serial correlation.

n. in statistics and experimental design, the correlation of observations with themselves over time - usually experienced in repeated measures ANOVAs.

Over succeeding time gaps, a correlation of a given variable with itself.

Pronunciation GB: ˌɔːtəʊkɒrəˈleɪʃn, GA: ˌɑːt̬oʊkɑrəˈleɪʃn A signal processing method for estimating the period of periodic portions of the speech pressure waveform. A windowed portion of the waveform [..]

The degree of interdependence among data arranged on a three-dimensional grid. (McGraw-Hill Dictionary of Scientific and Technical Terms, 6th ed)

A description of data that indicates the extent to which values in one subset of a series predict values of another subset. Also referred to as serial dependency.

See serial correlation.

The interdependence among the pairs of observations, usually in a time series, which are separated by a constant interval. Excessive autocorrelation can cause problems when estimating time-series mode [..]

the jth autocorrelation of a covariance-stationary process is defined as its jth autocovariance divided by its variance. In a sample, the kth autocorrelation is the OLS estimate that results from the [..]

While “correlation” describes the statistical relationship between two variables, autocorrelation describes the statistical relationship between to observations of the same variable. In forest monitor [..]

The correlation between the values of a time series and previous values of the same time series.

The correlation of a variable with itself over successive time intervals. Sometimes called serial correlation.