Dr. Amjad Hindi et al, International Journal of Computer Science & Mobile Computing, Vol.9 Issue.2, Feb- 2020, pg. 96-103 © 2020, IJCSMC All Rights Reserved 96 Available Online at www.ijcsmc.com International Journal of Computer Science and Mobile Computing A Monthly Journal of Computer Science and Information Technology ISSN 2320–088X IMPACT FACTOR: 6.199 IJCSMC, Vol. 9, Issue. 2, February 2020, pg.96 – 103 Analysis of Digital Signals using Wavelet Packet Tree Dr. Amjad Hindi; Dr. Majed Omar Dwairi; Prof. Ziad Alqadi Albalqa Applied University, Faculty of Engineering Technology, Jordan, Amman amjadhindi@bau.edu.jo; majeddw@gmail.com; natalia_maw@yahoo.com Abstract: Wavelet packet tree analyses both low and high frequency sub-bands of a signal, consequently provides more elaborate information to be exploited for extracting features. WPT provides us with a valuable information which can be used to form a feature vector for any type of digital signals, in this paper we will provide an analysis of WPT to use the approximations and details for various levels of WPT to get the needed information necessary to create digital signal features vector. Keywords: Digital color, digital speech, approximation, details, WPT, WT, features 1- Introduction Color images [1..8] and human speech [9..14] are valuable due to many applications requiring these data types, these types of information usually converted from analogue signals to digital signals by applying sampling, quantization and encoding [9], [10], then these signals used in many vital applications such computer security system which are based on using image fingerprints or voiceprints which can be extracted from the original input signal[11], [12], [13], [14]. Digital color image is a 3D matrix [1], [2], the first dimension represents the red color, the second one represents the green color, while the third one represents the blue color, mixing theses colors together gives us the needed color as shown in figure 1[3], [4], [5]: