现有数字信号自动调制识别方法大多只适用于无记忆信号，如PSK、ASK、FSK信号等。将有记忆 信号(MSK信号)和无记忆信号一起考虑，提出了一种改进的数字信号自动识别方法。该方法采用信号的瞬时统 计量作为特征参数，采用多层神经网络作为分类器。计算机仿真表明：当噪声采用高斯白噪声，并且信噪比大于 l5 dB时，识别率高于96％ ；当信噪比不低于l0 dB时，识别率不低于90％。,Existing digital signal automatic modulation recognition

用MATLAB来仿真FSK、PSK、DPSK的调制、解调过程，并通过实验来比较它们的误码率和信噪比的关系。内附有matlab源代码-Using MATLAB to simulate FSK, PSK, DPSK modulation, the demodulation process, and to compare their bit error rate and signal to noise ratio by the empirical relationship. Enclosed is t