Efficient engineering classifier capable of automatically extracting features of noise signals received

With the adaptive wavelet neural network and preprocessing before inputting signals into the adaptive wavelet neural network, this paper succeeded in designing and implementing an efficient engineering classifier capable of automatically extracting features of noise signals received. The efficiency of the classifier can be seen by comparing it with the neural network classifier whose feature vector is the AR parameter of signals.