Sampling Adaptive Learning Algorithm for Mobile Blind Source Separation
Joint Authors
Source
Wireless Communications and Mobile Computing
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-7, 7 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-03-18
Country of Publication
Egypt
No. of Pages
7
Main Subjects
Information Technology and Computer Science
Abstract EN
Learning rate plays an important role in separating a set of mixed signals through the training of an unmixing matrix, to recover an approximation of the source signals in blind source separation (BSS).
To improve the algorithm in speed and exactness, a sampling adaptive learning algorithm is proposed to calculate the adaptive learning rate in a sampling way.
The connection for the sampled optimal points is described through a smoothing equation.
The simulation result shows that the performance of the proposed algorithm has similar Mean Square Error (MSE) to that of adaptive learning algorithm but is less time consuming.
American Psychological Association (APA)
Huang, Jingwen& Sun, Jianshan. 2018. Sampling Adaptive Learning Algorithm for Mobile Blind Source Separation. Wireless Communications and Mobile Computing،Vol. 2018, no. 2018, pp.1-7.
https://search.emarefa.net/detail/BIM-1216059
Modern Language Association (MLA)
Huang, Jingwen& Sun, Jianshan. Sampling Adaptive Learning Algorithm for Mobile Blind Source Separation. Wireless Communications and Mobile Computing No. 2018 (2018), pp.1-7.
https://search.emarefa.net/detail/BIM-1216059
American Medical Association (AMA)
Huang, Jingwen& Sun, Jianshan. Sampling Adaptive Learning Algorithm for Mobile Blind Source Separation. Wireless Communications and Mobile Computing. 2018. Vol. 2018, no. 2018, pp.1-7.
https://search.emarefa.net/detail/BIM-1216059
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1216059