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Int. J. Communications, Network and System Sciences, 2010, 3, 321–329 doi:10.4236/ijcns.2010.33041 Published Online March 2010 (http://www.SciRP.org/journal/ijcns/). Time Domain Signal Analysis Using Wavelet Packet Decomposition Approach 1 2 M. Y. Gokhale , Daljeet Kaur Khanduja 1 Professor and Head of Department of Mathematics, Maharashtra Institute of Technology, Pune, India 2Assistant Professor Department of Mathematics, Sinhgad Academy of Engineering, Pune, India Email : dkdkhalsa@ Received November 11, 2009; revised December 17, 2009; accepted January 22, 2010 Abstract This paper explains a study conducted based on wavelet packet transform techniques. In this paper the key idea underlying the construction of wavelet packet analysis (WPA) with various wavelet basis sets is elabo- rated. Since wavelet packet decomposition can provide more precise frequency resolution than wavelet de- composition the implementation of one dimensional wavelet packet transform and their usefulness in time signal analysis and synthesis is illustrated. A mother or basis wavelet is first chosen for five wavelet filter families such as Haar, Daubechies (Db4), Coiflet, Symlet and dmey. The signal is then decomposed to a set of scaled and translated versions of the mother wavelet also known as time and frequency parameters. Analysis and synthesis of the time signal is performed around 8 seconds to 25 seconds. This was conducted to determine the effect of the choice of mother wavelet on the time signals. Results are also prepared for the comparison of the signal at each decomposition level. The physical changes that are occurred during each decompositi