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230811 ||| eng |
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|a 9783036581347
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|a 9783036581354
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|a books978-3-0365-8135-4
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| 100 |
1 |
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|a Sun, Haixin
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| 245 |
0 |
0 |
|a Recent Advances in Underwater Signal Processing
|h Elektronische Ressource
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| 260 |
|
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|a Basel
|b MDPI - Multidisciplinary Digital Publishing Institute
|c 2023
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| 300 |
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|a 1 electronic resource (238 p.)
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| 653 |
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|a instance normalization
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| 653 |
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|a particle swarm optimization
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| 653 |
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|a hidden Markov model
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| 653 |
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|a denoising
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| 653 |
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|a local tangent space alignment
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| 653 |
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|a void area
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| 653 |
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|a track-before-detect
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| 653 |
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|a ship trajectory
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| 653 |
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|a AIS
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| 653 |
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|a knowledge-aided
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| 653 |
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|a routing
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| 653 |
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|a ultrasonic frequencies
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| 653 |
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|a genetic algorithm
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| 653 |
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|a n/a
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| 653 |
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|a non-parametric kernel density estimation
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| 653 |
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|a autoencoder
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| 653 |
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|a data analysis
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| 653 |
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|a opportunistic routing (OR)
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| 653 |
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|a variational mode decomposition
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| 653 |
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|a deep learning
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| 653 |
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|a atomic interference gravimeter
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| 653 |
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|a signal synthesis
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| 653 |
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|a underwater images
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| 653 |
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|a History of engineering and technology / bicssc
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| 653 |
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|a image enhancement
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| 653 |
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|a sonar signal detection
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| 653 |
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|a channel estimation
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| 653 |
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|a MIMO
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| 653 |
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|a active sonar
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| 653 |
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|a Technology: general issues / bicssc
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| 653 |
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|a OFDM
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| 653 |
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|a magnetometers
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| 653 |
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|a particle filter
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| 653 |
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|a ship-radiated noise
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| 653 |
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|a weighted permutation entropy
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| 653 |
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|a underwater acoustic communication
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| 653 |
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|a active vibration isolation
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| 653 |
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|a Doppler spread
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| 653 |
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|a vibration noise
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| 653 |
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|a spatiotemporal fluctuation
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| 653 |
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|a vibration compensation
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| 653 |
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|a fading channels
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| 653 |
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|a system design
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| 653 |
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|a channel characteristics
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| 653 |
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|a sonobuoy
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| 653 |
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|a signal transmission and reception
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| 653 |
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|a underwater acoustic communications
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| 653 |
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|a broadband channel measurements
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| 653 |
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|a void avoiding
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| 653 |
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|a filter bank
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| 653 |
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|a trajectory classification
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| 653 |
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|a gravity measurement
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| 653 |
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|a underwater sensing
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| 653 |
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|a sounding signals
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| 653 |
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|a Tacotron
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| 653 |
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|a modulation and demodulation
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| 653 |
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|a underwater wireless sensor networks (UWSNs)
|
| 700 |
1 |
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|a Zhang, Xuebo
|
| 700 |
1 |
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|a Sun, Haixin
|
| 700 |
1 |
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|a Zhang, Xuebo
|
| 041 |
0 |
7 |
|a eng
|2 ISO 639-2
|
| 989 |
|
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|b DOAB
|a Directory of Open Access Books
|
| 500 |
|
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|a Creative Commons (cc), https://creativecommons.org/licenses/by/4.0/
|
| 024 |
8 |
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|a 10.3390/books978-3-0365-8135-4
|
| 856 |
4 |
2 |
|u https://directory.doabooks.org/handle/20.500.12854/112474
|z DOAB: description of the publication
|
| 856 |
4 |
0 |
|u https://www.mdpi.com/books/pdfview/book/7589
|7 0
|x Verlag
|3 Volltext
|
| 082 |
0 |
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|a 900
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| 082 |
0 |
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|a 380
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| 082 |
0 |
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|a 700
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| 082 |
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|a 600
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| 082 |
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|a 620
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|a Seventy-one percent of the Earth is covered by oceans, which plays an important role in human life (ecological regulation, living resources, mineral resources, etc.). Underwater equipment including sonar and radar can help us to better understand the ocean. Using these technologies, topography, underwater communication, target detection, localization, imaging, and ocean monitoring can be easily carried out. Signal processing and electronics techniques have achieved great progress in recent years. Thanks to these developments, the novel theories, mechanisms, and processing techniques of underwater equipment have also been pushed into a new era. This Special Issue aims to highlight recent advancements, developments, and applications in underwater signal processing methodologies including characterization, simulation, real data processing, as well as applications to underwater engineering. In general, any contributions related to underwater signal processing or ocean signal processing will be considered.
|