Titlebook: Automatic Modulation Recognition of Communication Signals; Elsayed Elsayed Azzouz,Asoke Kumar Nandi Book 1996 Springer Science+Business Me

septicemia

马笼头

https://doi.org/10.1057/9780312376192ure of the signal under consideration. Sometimes, there is no a priori information about the nature of a signal. In this case the modulation recognition algorithms introduced in Chapter 2, Chapter 3, Appendix C.1, and Appendix C.2 cannot discriminate between some types of modulations such as MASK an

索赔

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稀释前

礼节

Modulation Recognition Using Artificial Neural Networks,obability of correct decision derived from each key feature. On the other hand, in the ANN algorithms all the key features are considered simultaneously. So, the time order of the key features does not affect on the probability of correct decision of on the modulation type of a signal. For that reas

细微的差异

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gnals. describes in depth thismodulation recognition process. .Drawing on several years of research, the authors provide a criticalreview of automatic modulation recognition. This includes techniquesfor recognising digitally modulated signals. The book also givescomprehensive treatment of using artificial neu978-1-4419-5166-3978-1-4757-2469-1

DEI

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978-1-4419-5166-3Springer Science+Business Media Dordrecht 1996