dist_afbdtw {DTWBI}

Adaptive Feature Based Dynamic Time Warping algorithm

Description

This function estimates a distance matrix which is used as an input in dtw() function (package dtw) to align two univariate signals following Adaptative Feature Based Dynamic Time Warping algorithm (AFBDTW).

Usage

dist_afbdtw(q, r, w1 = 0.5)

Arguments

q

query vector

r

reference vector

w1

weight of local feature VS global feature. By default, w1 = 0.5, and by definition, w2 = 1 - w1.

Value

A list containing the following elements:

• query: the query vector

• response: the response vector

• query_local: local feature of the query

• response_local: local feature of the response vector

• query_global: global feature of the query

• response_global: global feature of the response vector

• dist_local: distance matrix of the local feature

• dist_local: distance matrix of the global feature

• distAFBDTW: AFBDTW distance matrix

Author(s)

Camille Dezecache, Hong T. T. Phan, Emilie Poisson-Caillault

Examples

data(dataDTWBI)
X <- dataDTWBI[, 1] ; Y <- dataDTWBI[, 2]
AFBDTW_Dist <- dist_afbdtw(X, Y)