Use of shift variance of the wavelet transform for signal detection

Characterizes signals according to the degree with which a time shift affects their wavelet series coefficients and develops a measure called the “shift index” to quantify that effect. The authors argue that the shift index can be used to locate, separate and cluster and/or detect pulse like signals with random arrival times. Examples are given to verify the established theory