@inproceedings{e978cb6e4b18486a84c2a9e72f2a8110,
title = "A novel approach to peak detection using sequential learning algorithm",
abstract = "Peak detection is a facile wing of signal processing. Conventional peak detection algorithms detect peaks when the entire signal is made available to them. In contrast, we propose a method that is based on recognizing the fundamental shapes of a signal, and the overall method intuitive in nature. Towards this, we use a feedforward neural network that is trained using the online sequential learning algorithm which provides better convergence performance relative to the back propagation algorithm. Moreover, the training avoids complex pre-processing tasks and feature extraction. Most importantly, the entire signal is not required for the algorithm to detect the peaks.",
keywords = "artificial neural networks, online sequential learning, Peak detection",
author = "Sumukha, {B. N.} and Kumar, {R. Chandan} and Bharadwaj, {Skanda S.} and Koshy George",
note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 2nd International Conference on Contemporary Computing and Informatics, IC3I 2016 ; Conference date: 14-12-2016 Through 17-12-2016",
year = "2016",
doi = "10.1109/IC3I.2016.7918803",
language = "English",
series = "Proceedings of the 2016 2nd International Conference on Contemporary Computing and Informatics, IC3I 2016",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "862--867",
editor = "Aradhya, {V N Manjunatha} and Niranjan, {S K}",
booktitle = "Proceedings of the 2016 2nd International Conference on Contemporary Computing and Informatics, IC3I 2016",
address = "United States",
}