septicemia 发表于 2025-3-23 13:12:39
http://reply.papertrans.cn/17/1665/166432/166432_11.png马笼头 发表于 2025-3-23 17:35:34
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 发表于 2025-3-23 19:25:33
http://reply.papertrans.cn/17/1665/166432/166432_13.png淘气 发表于 2025-3-23 23:14:49
http://reply.papertrans.cn/17/1665/166432/166432_14.png稀释前 发表于 2025-3-24 06:13:54
http://reply.papertrans.cn/17/1665/166432/166432_15.png礼节 发表于 2025-3-24 09:29:24
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 发表于 2025-3-24 12:24:37
http://reply.papertrans.cn/17/1665/166432/166432_17.pngaddict 发表于 2025-3-24 17:08:58
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 neu978-1-4419-5166-3978-1-4757-2469-1DEI 发表于 2025-3-24 20:11:55
http://reply.papertrans.cn/17/1665/166432/166432_19.pngCOUCH 发表于 2025-3-25 01:08:12
978-1-4419-5166-3Springer Science+Business Media Dordrecht 1996