Automatic Classificiation of MFSK Signals by the Wavelet Transforms
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