Using Wave Equation to Extract Digital Signal Features


  • A. Y. Al-Rawashdeh Department of Electrical Engineering, Faculty of Engineering Technology, Al-Balqa Applied University, Jordan
  • Z. Al-Qadi Department of Computer Engineering, Al-Balqa Applied University, Amman, Jordan
Volume: 8 | Issue: 4 | Pages: 3153-3156 | August 2018 |


Voice signals are one of the most popular data types. They are used in various applications like security systems. In the current study a method based on wave equation was proposed, implemented and tested. This method was used for correct feature array generation. The feature array can be used as a key to identify the voice signal without any dependence on the voice signal type or size. Results indicated that the proposed method can produce a unique feature array for each voice signal. They also showed that the proposed method can be faster than other feature extraction methods.


wave signal, wave equation, feature array, voice parameters


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R. Szabo, A. Gontean, I. Lie, “Sound Based Coin Recognition and Clapper”, 16th International Conference on Soft Computing (MENDEL), pp. 509–516, June 23-25, 2010.

A. K. Paul, D. Das, M. M. Kamal, “Bangla Speech Recognition System Using LPC and ANN”, Seventh International Conference on Advances in Pattern Recognition (ICAPR), Kolkata, India, pp. 171–174, February 4-9, 2009 DOI:

R. Szabo, A. Gontean, “Human Voice Signal Synthesis and Coding”, IFAC Proceedings Volumes, Vol. 46, No. 28, pp. 336-341, 2013 DOI:

K. Μ. Matrouk, A. Alhasanat, H. Alasha'ary, Z. Alqadi, H. M. Al-Shalabi, “Speech Fingerprint to Identify Isolated Word-Person”, World Applied Sciences Journal, Vol. 31, No. 10, pp. 1767-1771, 2014

R. M. Stern, F. H. Liu, Y. Ahshima, T. M. Sullivan, A. Acero, “Multiple Approaches to Robust Speech Recognition”, DARPA Speech V Natural Language Workshop, pp. 274–279, Harriman, 1992 DOI:

P. Chatzimisios, C. Verikoukis, I. Santamaría, M. Laddomada, O. Hoffmann, Mobile Lightweight Wireless Systems, Second International ICST Conference, Mobilight, Barcelona, Spain, 2010, Springer, 2011 DOI:

B. Wu, J. Zhu, F. N. Najm, “Dynamic Range Estimation”, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, Vol. 25, No. 9, pp. 1618-1636, 2006 DOI:

B. Wu, J. Zhu, F. N. Najm, “An analytical approach for dynamic range estimation”, 41st Design Automation Conference, San Diego, USA, July 7-11, 2005 DOI:

S. Miller, D. Childers, Probability and random processes, Academic Press, pp: 370-375, 2012 DOI:

F. Gouyon, F. Pachet, O. Delerue, “Classifying percussive sounds: a matter of zero-crossing rate”, COST G-6 Conference on Digital Audio Effects (DAFX-00), Verona, Italy, December 7-9, 2000

A. Fichtner, S. M. Hanasoge, “Discrete wave equation upscaling”, Geophysical Journal International, Vol. 209, No. 1, pp. 353–357, 2017 DOI:

V. E. Tarasov, “Discrete Wave Equation with Infinite Differences”, Applied Mathematics & Information Sciences Letters, Vol. 5, No. 2, pp. 41-44, 2017 DOI:


How to Cite

A. Y. Al-Rawashdeh and Z. Al-Qadi, “Using Wave Equation to Extract Digital Signal Features”, Eng. Technol. Appl. Sci. Res., vol. 8, no. 4, pp. 3153–3156, Aug. 2018.


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