Underwater Acoustic Modeling and Simulation下载

weixin_39821620 2019-09-14 04:30:20

Underwater Acoustic Modeling and Simulation, Fourth Edition continues to provide the most authoritative overview of currently available propagation, noise, reverberation, and sonar-performance models. This fourth edition of a bestseller discusses the fundamental processes involved in simulating the
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Underwater Acoustic Modeling and Simulation, Fourth Edition continues to provide the most authoritative overview of currently available propagation, noise, reverberation, and sonar-performance models. This fourth edition of a bestseller discusses the fundamental processes involved in simulating the performance of underwater acoustic systems and emphasizes the importance of applying the proper modeling resources to simulate the behavior of sound in virtual ocean environments. New to the Fourth Edition * Extensive new material that addresses recent advances in inverse techniques and marine-mammal protection * Problem sets in each chapter * Updated and expanded inventories of available models Designed for readers with an understanding of underwater acoustics but who are unfamiliar with the various aspects of modeling, the book includes sufficient mathematical derivations to demonstrate model formulations and provides guidelines for selecting and using the models. Examples of each type of model illustrate model formulations, model assumptions, and algorithm efficiency. Simulation case studies are also included to demonstrate practical applications. Providing a thorough source of information on modeling resources, this book examines the translation of our physical understanding of sound in the sea into mathematical models that simulate acoustic propagation, noise, and reverberation in the ocean. The text shows how these models are used to predict and diagnose the performance of complex sonar systems operating in the undersea environment.

水声建模一本很有用的书英文版 pdf 版包括水声物理建模方法等等

Channel Modeling for Underwater Acoustic Network SimulationSimulation forms an important part of the development and empirical evaluation of underwater acoustic network (UAN) protocols. The key featur...

目前机器学习及深度学习技术在海洋科学方面的应用大概有以下几方面：（1）监测海洋生物多样性(Monitoring marine biodiversity) Bermant P C等人将机器学习技术运用到对抹香鲸生物声学的研究，利用卷积网络来构造回声定位点击检测器，旨在对抹香鲸声学数据生成的频谱图进行分类。实验结果展示点击检测器在对...

Sonar sensors play an integral part in underwater robotic perception by providing imagery at long distances where standard optical cameras cannot. They have proven to be an important part in various robotic algorithms including localization, mapping, and s

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