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Precedence-based cross-correlograms 1.0

  Date Added: June 05, 2013  |  Visits: 260

Precedence-based cross-correlograms

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CH_XCORR Calculate cross-correlograms with a wide range of options.SYNTAX CCG = CH_XCORR(HC_L,HC_R,FRAME_LENGTH,NOVERLAP,MAXLAG,TAU) CCG = CH_XCORR(...,INHIB) CCG = CH_XCORR(...,IC_T,NORM_FLAG) CCG = CH_XCORR(...,INHIB_MODE) [CCG,IC] = CH_XCORR(...)DESCRIPTIONCCG = CH_XCORR(HC_L,HC_R,FRAME_COUNT,FRAME_LENGTH,MAXLAG,TAU) calculates cross-correlograms with a range of cross-correlation parameters.The function cross-correlates the input 2-D matrices HC_L and HC_R over frames of length FRAME_LENGTH. It is assumed that the number of frequency channels is min(size(HC_L)) and hence HC_L and HC_R can be in either orientation. The cross-correlograms consist of cross-correlations for every frame and frequency channel. The function calculates running cross-correlations for every sample and integrates these cross-correlations over NOVERLAP frames. The lags are determined by MAXLAG and the cross-correlation is computed over the range of lags -MAXLAG to MAXLAG, i.e., 2*MAXLAG+1 lags. The number of frames FRAME_COUNT is calculated thus:FRAME_COUNT = floor((max(size(HC_L))-MAXLAG-1)/(FRAME_LENGTH))-NOVERLAP+1;The underlying cross-correlation algorithm is based on that proposed by Faller & Merimaa [1]. In this implmentation, the time constant of the backward infinite exponential window is given by TAU (in samples).CCG = CH_XCORR(...,INHIB) multiplies the running cross-correlations with INHIB before the cross-correlations are averaged. If INHIB is un-specified it is set to ones(size(HC_L)).CCG = CH_XCORR(...,IC_T,NORM_FLAG) allows an IC threshold to be specified and normalisation to be turned on and off. The algorithm calculates Interaural Coherence (IC) according to [1]. The cross-correlogram is calculated for each frame by averaging only those cross-correlations within the frame for which the corresponding IC exceeds the IC threshold IC_T (0

Requirements: No special requirements
Platforms: Matlab
Keyword: Backward Constant Exponential Implmentation Infinite Merimaa Multiplies Samples Window
Users rating: 0/10

License: Shareware Size: 215.04 KB
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