Dynamic, under real-time track of target motion, and observing the entire process of the record movement, have monitored the antaneous change of the target in different environment, and have laid the foundation for the research of variational behavior in different condition. This article takes living cells as example and uses the computer multimedia technologies, marks the target through the reasonable use image division technology and the Matlab programming, and has realized the track of the target motion. The experiment indicated that the characteristic points which examined from this article method can represent each image accurately the movement situation, and the trajectory diagram can demonstrate the proper motion route of the objects.

Parameter method of using AR (auto-regressive) Parameters model is one of most important way to signal extraction, analyzing the acoustic signal data from different algorithms of AR Parameters Model in this paper, proves that different outcomes attributes different extractions to by simulating and the importance of preprocessing.

Feature extraction is the key step for acoustic target recognition. Because the acoustic signal is non-stationary, the traditional feature extraction methods can not work well. In this paper, "wavelet analysis method" used for feature extraction is introduced, after simulating and analysing, it is proved that this method is suitable for feature extraction of acoustic signal.