AutoCorrelation¶

streaming mode | Standard category

Inputs¶

array (vector_real) - the array to be analyzed

Outputs¶

autoCorrelation (vector_real) - the autocorrelation vector

Parameters¶

frequencyDomainCompression (real ∈ (0, ∞), default = 0.5) :
factor at which FFT magnitude is compressed (only used if ‘generalized’ is set to true, see [3])

generalized (bool ∈ {true, false}, default = false) :
bool value to indicate whether to compute the ‘generalized’ autocorrelation as described in [3]

normalization (string ∈ {standard, unbiased}, default = standard) :
type of normalization to compute: either ‘standard’ (default) or ‘unbiased’

Description¶

This algorithm computes the autocorrelation vector of a signal. It uses the version most commonly used in signal processing, which doesn’t remove the mean from the observations. Using the ‘generalized’ option this algorithm computes autocorrelation as described in [3].

References:

[1] Autocorrelation – from Wolfram MathWorld, http://mathworld.wolfram.com/Autocorrelation.html

[2] Autocorrelation - Wikipedia, the free encyclopedia, http://en.wikipedia.org/wiki/Autocorrelation

[3] Tolonen T., and Karjalainen, M. (2000). A computationally efficient multipitch analysis model. IEEE Transactions on Audio, Speech, and Language Processing, 8(6), 708-716.

Source code¶

C++ source code

C++ header file