TY - JOUR
T1 - A novel algorithm for image representation using discrete spectrum of the Schrödinger operator
AU - Kaisserli, Zineb
AU - Laleg-Kirati, Taous-Meriem
AU - Lahmar-Benbernou, Amina
N1 - KAUST Repository Item: Exported on 2020-10-01
Acknowledgements: This work was conducted when the first author was visiting the Estimation, Modeling and ANalysis Group at the Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) devision at King Abdullah University of Science and Technology (KAUST). She would like to thank KAUST for its support and generous hospitality.
PY - 2015/5
Y1 - 2015/5
N2 - This paper extends the recent signal analysis method based on the spectral analysis of the semi-classical Schrödinger operator to two dimensions. An algorithm based on the tensor product approach when writing the eigenfunctions of the semi-classical Schrödinger operator is proposed. The algorithm is described and the effect of some parameters on the convergence of this method are numerically studied. The performance of the algorithm is illustrated through some examples.
AB - This paper extends the recent signal analysis method based on the spectral analysis of the semi-classical Schrödinger operator to two dimensions. An algorithm based on the tensor product approach when writing the eigenfunctions of the semi-classical Schrödinger operator is proposed. The algorithm is described and the effect of some parameters on the convergence of this method are numerically studied. The performance of the algorithm is illustrated through some examples.
UR - http://hdl.handle.net/10754/565943
UR - https://linkinghub.elsevier.com/retrieve/pii/S1051200415000251
UR - http://www.scopus.com/inward/record.url?scp=84933678695&partnerID=8YFLogxK
U2 - 10.1016/j.dsp.2015.01.005
DO - 10.1016/j.dsp.2015.01.005
M3 - Article
SN - 1051-2004
VL - 40
SP - 80
EP - 87
JO - Digital Signal Processing
JF - Digital Signal Processing
IS - 1
ER -