This thesis discusses the application of wavelet in signal modulation identification and parameter estimation. In this thesis, continuous Morlet wavelet and discrete Daubechies2 wavelet are used. The main contributions is as follows:
The instantaneous frequencies of PSK and FSK signals are estimated by using wavelet transform. Then, the instantaneous frequencies are used for Inter-class classification and parameter estimation. Also, the Intra-class classification of M-ary FSK and M-ar...