LANGENDIJK2002 - Localization model according to Langendijk et al. (2002)

Usage

pmv = langendijk2002(targets,template)
pmv = langendijk2002(targets,template,fs,bw,s,do,flow,fhigh)

Input parameters

`targets`	head-related impulse responses (HRIRs) of target sounds (sorted acc. ascending polar angle)
`template`	HRIRs of template

Output parameters

pmv

Predicted probability mass vectors (PMVs) of polar response angles as a function of the polar target angle.

Description

langendijk2002(targets,template,... ) results to a two dimensional matrix p. The first dimension represents all possible response positions in increasing order and the second dimension all possible target respectively source positions. Consequently each column represents the predicted probability mass vector (PMV) of the polar response angle distribution for one special target position. If you want to plot this prediction matrix use plot_langendijk2002.

langendijk2002 accepts the following optional parameters.

`'fs',fs`	Sampling rate of the head-related impulse responses.
`'bw',bw`	Bandwidth of filter bands as partial of an octave. The default value is 6.
`'do',do`	Differential order. The default value is 0.
`'s',s`	Standard deviation of transforming Gaussian function; default value is 2.
`'flow',flow`	Lower cutoff frequency of filter bank. min: 0,5kHz; default: 2kHz
`'fhigh',fhigh`	Upper cutoff frequency of filter bank; default: 16kHz

langendijk2002 accepts the following flags.

`'std'`	Apply Gaussian transformed standard deviation of inter-spectral differences for comparison process. This is the default.
`'xcorr'`	Apply crosscorrelation for comparison process.

References: