期刊名称：Balkan Journal of Electrical & Computer Engineering
印刷版ISSN：2147-284X
出版年度：2019
卷号：7
期号：3
页码：294-299
DOI：10.17694/bajece.564960
语种：English
出版社：Kirklareli University
摘要：A modulation processis required to transmit analog signals with higher quality. Modulation is theprocess of transporting the signal by another carrier signal. This study aimsto process analog signals. Using 200 samples of each of the six types of analogmodulation modules. Nowadays these are Amplitude Modulation (AM), Double SideBand (DSB), Upper Side Band (USB), Lower Side Band (LSB), Frequency Modulation(FM) and Phase Modulation(PM) respectively. In the study an intelligentclustering method has been developed. The 5th level Discrete Wavelet Transform(DWT), Norm opy and Energy properties of AM, DSB, USB, LSB, FM and PManalog modulated signals have been removed during feature extraction phase. Theresults have been compared using K-Means, k-Medoid and Fuzzy C Mean (FCM)algorithms using a feature vector of 6x2x1200 obtained at the featureextraction stage and carrying out smart intelligent clustering for recognition.The most successful result has been obtained with FCM of 85.75%.00.
