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A. Engin and A. Derya, “Using Combination of Support Vector Machines for Automatic Analog Modulation Recognition,” Expert Systems with Applications, Vol. 36, No.1, 2009, pp. 3956-3964.

has been cited by the following article:

• TITLE: Modulation Index Estimation of Frequency and Phase Modulated Signals

  AUTHORS: Geng Peng, Derong Cai, Zhiqiang He, Zhitao Huang

  KEYWORDS: Information Processing Technology, Blind Estimation, Modulation Index, AM Signal

  JOURNAL NAME: International Journal of Communications, Network and System Sciences, Vol.3 No.9, September 30, 2010

  ABSTRACT: Modulation index estimation is important in the demodulation and recognition of Angle Modulation (AM) signals which include Frequency Modulation (FM) and Phase Modulation (PM) signals. In this paper, we firstly analyzed the AM signals with baseband modulation types, such as monotone, PSK, FSK, in the time and frequency domain. Then, we established a unified mathematical representation for the AM signals. Finally, we derived a blind estimation algorithm for the modulation index without using any prior knowledge. Simulation results verify the capabilities of the proposed algorithm.