Automatic Modulation Classification - Principles, Algorithms and Applications

自动化调制分类:原理、算法与应用

电子技术

售   价:
1115.00
发货周期:预计3-5周发货
作      者
出  版 社
出版时间
2014年12月26日
装      帧
精装
ISBN
9781118906491
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页      码
184
语      种
英文
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库存 30 本
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图书简介
Both Analogue and Digital Modulations transform baseband message signals (of lower frequency) into modulated band pass signals (of higher frequency) using a carrier signal for the purposed of enhancing the signals immunity against noise and extending the transmission range. Different modulations require different hardware configuration and bandwidth allocation, and concurrently provide different levels of noise immunity, data rate, and robustness in different transmission channels. This book offers a state-of-the-art review of modern signal detection and recognition. Theoretical signal models will be explained in the first two chapters to provide the principles on which the subsequent analysis is based on. The algorithms discussed are systematically classified into five major categories: Likelihood Based Classifiers, Distribution Test Based Classifiers, Feature Based Classifiers, Machine Learning Assisted Classifier, and Blind Modulation Classifiers. For each automatic modulation classifier, the assumptions and system requirements will be listed explicitly. The design and implementation will be explained through mathematical expressions, graphical illustrations, and programming pseudo codes. After detailed description of each algorithm, a comprehensive comparison will be given for each method discussed.
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