Several image fusion algorithms, such as contrast modulation fusion, false color fusion and wavelet transform fusion have been adopted to realize the fusion of visual and infrared images.

Based on the characteristic parameters extracted from transform domains, the automatic modulation recognition has been realized by employing decision theory.

A new method of modulation identification for communication signals, using wavelet transform to extract characteristics and based on support vector machines (SVM), is proposed.