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Dynamic time warping of spectroscopic BATCH data

Analytica Chimica Acta, 2003
This paper discusses a method for warping spectral batch data. This method is a modification of a procedure proposed by Kassidas et al. [AIChE Journal 44 (1998) 864; Journal of Process Control 8 (1998) 381]. This iterative procedure is based on the dynamic time warping (DTW) algorithm. The symmetric DTW algorithm is discussed in this paper.
Ramaker, H.J.   +3 more
openaire   +5 more sources

Drift time estimation by dynamic time warping

SEG Technical Program Expanded Abstracts 2015, 2015
Summary The drift time is the traveltime difference at the seismic frequency and the sonic logging frequency in anelastic media. In this abstract, we use dynamic time warping to estimate the drift time. Stationary and nonstationary seismograms are constructed based on well log data and the constant-Q theory.
Tianci Cui*, Gary Margrave
openaire   +1 more source

Adaptive marine traffic behaviour pattern recognition based on multidimensional dynamic time warping and DBSCAN algorithm

Expert systems with applications, 2023
Zhaokun Wei   +4 more
semanticscholar   +1 more source

Least-squares reverse time migration with dynamic time warping

SEG Technical Program Expanded Abstracts 2018, 2018
Least-squares reverse-time migration (LSRTM) has been shown to improve image quality over conventional RTM by enhancing the resolution, balancing illumination, and suppressing migration artefacts. However, it is also known to be sensitive to velocity errors.
W. Dai, X. Cheng, K. Jiao, D. Vigh
openaire   +1 more source

A novel distance measure based on dynamic time warping to improve time series classification

Information Sciences, 2023
Yutao Liu   +3 more
semanticscholar   +1 more source

Gait recognition using dynamic time warping

IEEE 6th Workshop on Multimedia Signal Processing, 2004., 2005
We propose a methodology for gait recognition based on dynamic time warping. The gait sequences are initially partitioned into gait cycles and then the test cycles are compared to reference cycles using dynamic time warping. The final distance between a test and a reference sequence is determined using a nonlinear rule.
Boulgouris, N V   +2 more
openaire   +1 more source

Mammogram classification using dynamic time warping

Multimedia Tools and Applications, 2017
This paper presents a new approach for breast cancer classification using time series analysis. In particular, the region of interest (ROI) in mammogram images is classified as normal or abnormal using dynamic time warping (DTW) as a similarity measure. According to the analogous case in time series analysis, the DTW subsumes Euclidean distance (ED) as
Syed Jamal Safdar Gardezi   +4 more
openaire   +1 more source

Dynamic Time Warping Based Sign Retrieval

2019 27th Signal Processing and Communications Applications Conference (SIU), 2019
Sign language, a visual language, is the main mode of communication for the Deaf. A large body of audio-visual material are annotated with sign language for the utilization of the Deaf. Enabling the sign based retrieval of these sources will serve two purposes: (i) Deaf people will be able to make searches using sign language; (ii) People who do not ...
Nazif Can Tamer   +3 more
openaire   +1 more source

Chromosome classification using dynamic time warping

Pattern Recognition Letters, 2008
A classifier based on dynamic time warping (DTW) has been developed to perform the classification of human chromosomes. DTW is used in speech recognition applications to compare two time-sequences. This paper describes a method to adapt the DTW technique in order to deal with the length and the density profile, which are common features used in ...
Legrand, B.   +4 more
openaire   +1 more source

A method for measuring similarity of time series based on series decomposition and dynamic time warping

Applied intelligence (Boston), 2022
Qingzhen Zhang   +6 more
semanticscholar   +1 more source

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