Separation of crack growth signals is of fundamental importance for detecting, locating, and determining the significance of an internal flaw. The difficulty associated with modeling acoustic emission is not only in providing an accurate representation of the source mechanism, but also in determining the effect of the specimen geometry and the sensor on the acoustic emission signal.An influence function is used to develop an integral equation to model the near tip dynamic stress due to a prescribed crack growth event. The propagation of the crack greatly influences the stress field in the vicinity of the crack tip, causing stress waves to radiate into the body and on the crack surface; it is the displacement caused by these stress waves that is being modeled. Acoustic emission testing detects stress waves at the body's surface and relates these back to crack propagation events. An advantage of the analysis presented is that the source for the acoustic emission signature is an actual crack propagation event and not a simple point source model.The velocity of the moving crack tip and the time dependent displacement due to the crack growth event are measured using a crack propagation gage and an interferometric displacement/velocity sensor respectively. The displacements being measured are acoustic emissions from the dynamic crack growth. These displacements are the benchmark comparison to the analytical model. The velocity measurements are input parameters for the analytical model.In the next section, the analytical method is developed and discussed. Then the experimental procedure is explained, and these results are compared with the analytical model in the last section.