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Automatic Modulation Classification for Short Burst Underwater Acoustic Communication Signals Based on Hybrid Neural Networks

Yongbin Li, Bin Wang, Gaoping Shao, Shuai Shao
2020 IEEE Access  
modulation classification UWA Underwater acoustic DL Deep learning CNN Convolutional neural network LSTM Long short-term memory SNR Signal-to-noise ratio SAE Sparse auto-encoder HNN Hybrid  ...  To improve the recognition performance for short burst UWA communication signals in complex marine environments, the idea of multimodal DL [24] - [28] is introduced and a novel hybrid neural networks  ... 
doi:10.1109/access.2020.3046124 fatcat:m7hgutdkdfdbhmw264uruo6avu

Toward virtual biopsy through an all fiber optic ultrasonic miniaturized transducer: a proposal

A. Acquafresca, E. Biagi, L. Masotti, D. Menichelli
2003 IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control  
feature maps ........Biological neural networks ........Cellular neural networks ........Feedforward neural networks ............Multilayer perceptrons Page 12 ........Multi-layer neural network .....  ...  cables ........Underwater communication ........Underwater equipment ............Rebreathing equipment ........Underwater structures ........Underwater technology ............Underwater communication  ... 
doi:10.1109/tuffc.2003.1244749 fatcat:l3jre4etsvcqzfyz2jqggji3gy

2020 Index IEEE Transactions on Wireless Communications Vol. 19

2020 IEEE Transactions on Wireless Communications  
., Joint Access and Backhaul Resource Management in Satellite-Drone Networks: A Competitive Market Approach; TWC June 2020 3908-3923 Hu, Y.H., see Xia, M., TWC June 2020 3769-3781 Hua, C., see Li, M  ...  TWC Jan. 2020 650-664 Huang, A., see He, H., TWC Dec. 2020 7881-7896 Huang, C., Molisch, A.F., He, R., Wang, R., Tang, P., Ai, B., and Zhong, Z., Machine Learning-Enabled LOS/NLOS Identification for  ...  Perim, V., +, TWC Jan. 2020 205-217 AUV-Aided Localization of Underwater Acoustic Devices Based on Dop-Signal Acquisition With Photon-Counting Detector Arrays in Free-Space Optical Communications.  ... 
doi:10.1109/twc.2020.3044507 fatcat:ie4rwz4dgvaqbaxf3idysubc54

Autonomous Underwater Gliders [chapter]

Wood, Stephe
2009 Underwater Vehicles  
The neural networks for control systems are based on human brain structure. The networks consist of artificial neurons, and each neuron is connected to other neurons through weights. ).  ...  Ship navigation has been evaluated using neural network based adaptive critic designs.  ... 
doi:10.5772/6718 fatcat:kjchoemxbfb5bcm32yvuta7n2q

Review of Automatic Detection and Classification Techniques for Cetacean Vocalization

Ayinde M. Usman, Olayinka O. Ogundile, Daniel J. J. Versfeld
2020 IEEE Access  
Therefore different techniques with mixed outcomes have been developed for the automatic detection and classification of signals of different cetacean species.  ...  They use sound for communication, echolocation and other social activities. Their sounds are highly non-stationary, transitory and range from short to long sounds.  ...  whale, humpback whale, and underwater earthquake signals while a back-propagation neural network is used for classification.  ... 
doi:10.1109/access.2020.3000477 fatcat:kyjwsw25wzdkdoey2gh6zlzva4

Estimating the size and spatial distribution of bubble clouds in an underwater acoustic test tank

Fred D. Holt, J. Daniel Park, R. Lee Culver, David Coles, Timothy Leighton
2010 Journal of the Acoustical Society of America  
An ultra short baseline localization system was deployed with the EARS moorings to provide array shape. With postanalysis this results in time-dependent positions for each of the acoustic sensors.  ...  The Littoral Acoustic Demonstration Center ͑LADC͒ performed the experiment, collecting acoustic and related data on three moored hydrophone arrays and one ship-deployed hydrophone array which together  ...  Based on the analysis, a frequency adaptive modulation processing algorithm for a noise robust automatic speech recognition task is proposed.  ... 
doi:10.1121/1.3384193 fatcat:hbesn7bgzbhvfjiy4sewacwaxe

2021 Index IEEE Photonics Journal Vol. 13

2021 IEEE Photonics Journal  
Article numbers are based on specified topic areas and corresponding codes associated with the publication.  ...  The Author Index contains the primary entry for each item, listed under the first author's name.  ...  ., +, JPHOT Dec. 2021 7300407 Feedforward neural networks Improvement of Image Classification by Multiple Optical Scattering.  ... 
doi:10.1109/jphot.2022.3149205 fatcat:xzfdp6eoijffzkqb7biyaptzua

A Survey of Blind Modulation Classification Techniques for OFDM Signals

Anand Kumar, Sudhan Majhi, Guan Gui, Hsiao-Chun Wu, Chau Yuen
2022 Sensors  
Blind modulation classification (MC) is an integral part of designing an adaptive or intelligent transceiver for future wireless communications.  ...  The ML-based automated MC includes k-nearest neighbors (KNN), support vector machine (SVM), decision trees (DTs), convolutional neural networks (CNNs), recurrent neural networks (RNNs), and long short-term  ...  Dobre, Memorial University, Canada for the precious help and suggestions. Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/s22031020 pmid:35161766 pmcid:PMC8840120 fatcat:aebc3apjtbbelaia6nhtjyu5sq

2020 Index IEEE Transactions on Industrial Informatics Vol. 16

2020 IEEE Transactions on Industrial Informatics  
Forests-Based Model for Ultra-Short-Term Prediction of PV Characteristics; TII Jan. 2020 202-214 Imran, A., see Hussain, B., TII Aug. 2020 4986-4996 Imran, M., see Fu, S., TII Sept. 2020 6013-6022  ...  on Intelligent Clustering in Local Area Industrial IoT Systems; TII June 2020 3697-3707 Jia, S., see Chen, C., 1873-1884 Jia, W., see Wang, T., 2054-2062 Jia, W., see Lian, J., 1343-1351 Jia, W., see  ...  Zhang, H., +, TII June 2020 3731- 3743 Fuzzy neural networks An Automatic Identification Framework for Complex Power Quality Distur- bances Based on Multifusion Convolutional Neural Network.  ... 
doi:10.1109/tii.2021.3053362 fatcat:blfvdtsc3fdstnk6qoaazskd3i

Final Program

2019 2019 16th International Conference on Electrical Engineering, Computing Science and Automatic Control (CCE)  
He is a winner of Scopus prize for the best cited Mexican Scientists in Mathematics and Engineering 2010.  ...  Sira-Ramírez has authored chapters in 30 contributed books and he is the author, or coauthor, of 8 books in Automatic Control in major Editorial houses.  ...  This paper seeks to use neural networks to predict the earthquake in short time.  ... 
doi:10.1109/iceee.2019.8884545 fatcat:jm72uv7khvh3pab5bxvt7ow4xu

Program

2021 2021 National Conference on Communications (NCC)  
Nonetheless, not every problem can and should be solved using deep neural networks (DNNs).  ...  For example, linearization schemes such as digital predistortion require load modulation based power amplifier (PA) (Doherty PA or Chireix Outphasing PA etc.) for handling high crest factor signals with  ...  We propose a neural networks based decoder for decoding TCM.  ... 
doi:10.1109/ncc52529.2021.9530194 fatcat:ahdw5ezvtrh4nb47l2qeos3dwq

Program

2021 2021 IEEE International Conference on Consumer Electronics-Taiwan (ICCE-TW)  
This paper proposes a hybrid model composed of Convolutional Neural Network (CNN) and Support Vector Machine (SVM) for gender, accent, and keyword classification.  ...  ) model based on recurrent neural network(RNN) with joint MRCG and MFCC features.  ... 
doi:10.1109/icce-tw52618.2021.9602919 fatcat:aetmvxb7hfah7iuucbamos2wgu

High‐intensity, focused ultrasonic fields

Leif Bjørnoø
1988 Journal of the Acoustical Society of America  
The intensity technique was initially developed for sound power measurements but it can be used as a general tool for sound field investigations.  ...  A great deal of time will be devoted to examples of applications on radiation from simple and complex sources and their nearfields.  ...  Isolated word recognition based on the adaptive neural network. J. S. Wang and B.  ... 
doi:10.1121/1.2025494 fatcat:yhmkhlqhivbwnp2lxraret33iq

Cetacean Translation Initiative: a roadmap to deciphering the communication of sperm whales [article]

Jacob Andreas, Gašper Beguš, Michael M. Bronstein, Roee Diamant, Denley Delaney, Shane Gero, Shafi Goldwasser, David F. Gruber, Sarah de Haas, Peter Malkin, Roger Payne, Giovanni Petri (+7 others)
2021 arXiv   pre-print
This paper details a roadmap toward this goal based on currently existing technology and multidisciplinary scientific community effort.  ...  Recent research showed the promise of such tools for analyzing acoustic communication in nonhuman species.  ...  feature vectors by an artificial neural network; these features are then decoded by another neural network into predictions for a downstream task (e.g. text classification or machine translation).  ... 
arXiv:2104.08614v1 fatcat:6dxsivh4inhptnmsvc6eu23v7i

Performance of optimized sound field control techniques in simulated and real acoustic environments

Philip Coleman, Martin Møller, Martin Olsen, Marek Olik, Philip Jackson, Jan Abildgaard Pedersen
2012 Journal of the Acoustical Society of America  
Acoustical issues are raised from these studies, such as, does the classical parameter of reverberation time still adequate for qualifying the acoustics for a roofless courtyard theatre, or for an amphitheatre  ...  To identify practical ways to assess privacy protection at counseling area in community pharmacies, we conducted site-visit investigations at 84 community pharmacies including on 10 telephone interviews  ...  The ultrasound received is demodulated and the modulating signal is also analyzed for pattern classification. Experiments based on the two methods are carried out.  ... 
doi:10.1121/1.4709059 fatcat:5yv7djzdifgwvlzymric4u65oa
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