Automatic Classificiation of MFSK Signals by the Wavelet Transforms
Xin Yi Zhou, Ying Wu · 2006
Automatic identification of the digital modulation signal has more and more important applications in many areas. This paper studies the use of wavelet transform for MFSK signals identification. A new clustering method which mixes subtractive and c-means algorithm is used in classifier. The performance of the identifier is investigated through simulations