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- W127163985 abstract "PHYSICS WATKINS, LANffiR A. B.S., CLARK ATLANTA UNIVERSITY, 1996 MODULATION CHARACTERIZATION USING THE WAVELET TRANSFORM Advisor: Dr. Kenneth Peny, Department of Computer Science Thesis Dated: May, 1997 The focus of this research is to establish an Automatic Modulation Identifier (AMI) using the Continuous Wavelet Transform (CWT) and several different classifiers. A Modulation Identifier is of particular interest to the military, because it has the potential to quickly discriminate between different communication waveforms. The CWT is used to extract characterizing information from the signal, and an artificial Neural Network is trained to identify the modulation type. Various analyzing wavelets and various classifiers were used to assess comparative performance. The analyzing wavelets used were the Mexican Hat Wavelet, the Morlet Wavelet, and the Haar Wavelet. The variety of classifiers used were the Multi-Layer Perceptron, the K-Nearest Neighbor and the Fuzzy Artmap. The CWT served as a preprocessor, and the classifiers served as an identifier for Binary Phase Shift Keying (BPSK), Binary Frequency Shift Keying (BFSK), Binary Amplitude Shift Keying (BASK), Quadature Phase Shift Keying (QPSK), Eight Phase Shift Keying (8PSK), and Quadature Amplitude Modulation (QAM) signals. Separation of BASK, BFSK and BPSK was performed in part one of the research project, and separation of BPSK, QPSK, 8PSK, BFSK, and QAM comprised the second part of the project. Each experiment was" @default.
- W127163985 created "2016-06-24" @default.
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- W127163985 date "1997-01-01" @default.
- W127163985 modified "2023-09-27" @default.
- W127163985 title "Modulation characterization using the wavelet transform" @default.
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- W127163985 hasPublicationYear "1997" @default.
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