Analysis of Methods used to Create Digital Signals Fingerprints

Digital signals are used in many vital applications, and since the volume of this data is very large, it is necessary to represent this data with a set of values and in a small size in order to increase the speed of processing the digital signal, because the applications that use this data need a high execution speed. In this paper research a detailed study of kmeans clustering and wavelet packet tree decomposition will be introduced, Using these methods to process any type of digital signals will lead to represent the digital data by a set of small number of values, this set will be used as a fingerprint to identify the digital data. Kmeans clustering method and wavelet tree decomposition will be used to create a fingerprints for speech signals, color images and gray images, the obtained results will be analyzed to give the user a bets way to create a fingerprint for any type of digital data, which is required to build any computer system, which use the digital data as an input.