IEEE Transactions on Signal Processing

Journal Information
ISSN / EISSN : 1053587X / 19410476
Total articles ≅ 15,071
Google Scholar h5-index: 88
Current Coverage
SCOPUS
SCIE
COMPENDEX
Archived in
EBSCO
Filter:

Latest articles in this journal

Bin Hu, Zuxun Song, Linxi Zhang
IEEE Transactions on Signal Processing pp 1-1; doi:10.1109/tsp.2020.2981672

The publisher has not yet granted permission to display this abstract.
Preeti Kumari, Sergiy A. Vorobyov, Robert W. Heath
IEEE Transactions on Signal Processing, Volume 68, pp 715-730; doi:10.1109/tsp.2019.2956689

The publisher has not yet granted permission to display this abstract.
Mingjin Wang, Feifei Gao, Nir Shlezinger, Mark F. Flanagan, Yonina C. Eldar
IEEE Transactions on Signal Processing, Volume 68, pp 49-64; doi:10.1109/tsp.2019.2956677

The publisher has not yet granted permission to display this abstract.
Nguyen Quang Tran, Oleksii Abramenko, Alexander Jung
IEEE Transactions on Signal Processing, Volume 68, pp 17-32; doi:10.1109/tsp.2019.2956687

The publisher has not yet granted permission to display this abstract.
Paolo Braca, Augusto Aubry, Leonardo Maria Millefiori, Antonio De Maio, Stefano Marano
IEEE Transactions on Signal Processing, Volume 68, pp 359-373; doi:10.1109/tsp.2019.2956688

The publisher has not yet granted permission to display this abstract.
Amir Masoud Molaei, Bijan Zakeri, Seyed Mehdi Hosseini Andargoli
IEEE Transactions on Signal Processing, Volume 68, pp 404-419; doi:10.1109/tsp.2019.2961226

The publisher has not yet granted permission to display this abstract.
Hoi-To Wai, Santiago Segarra, Asuman E. Ozdaglar, Anna Scaglione, Ali Jadbabaie
IEEE Transactions on Signal Processing, Volume 68, pp 436-451; doi:10.1109/tsp.2019.2961296

The publisher has not yet granted permission to display this abstract.
Peter Kovacs, Sandor Fridli, Ferenc Schipp
IEEE Transactions on Signal Processing, Volume 68, pp 478-492; doi:10.1109/tsp.2019.2961234

Abstract:
In this paper we develop an adaptive transform-domain technique based on rational function systems. It is of general importance in several areas of signal theory, including filter design, transfer function approximation, system identification, control theory etc. The construction of the proposed method is discussed in the framework of a general mathematical model called variable projection. First we generalize this method by adding dimension type free parameters. Then we deal with the optimization problem of the free parameters. To this order, based on the well-known particle swarm optimization (PSO) algorithm, we develop the multi-dimensional hyperbolic PSO algorithm. It is designed especially for the rational transforms in question. As a result, the system along with its dimension is dynamically optimized during the process. The main motivation was to increase the adaptivity while keeping the computational complexity manageable. We note that the proposed method is of general nature. As a case study the problem of electrocardiogram (ECG) signal compression is discussed. By means of comparison tests performed on the PhysioNet MIT-BIH Arrhythmia database we demonstrate that our method outperforms other transformation techniques.
Xiaoye Wang, Zhaocheng Yang, Jianjun Huang, Rodrigo C. De Lamare
IEEE Transactions on Signal Processing, Volume 68, pp 81-96; doi:10.1109/tsp.2019.2957640