WAVELET-BASED SHIFT-INVARIANT NOISE MODEL

Authors

Fu-Tai Wang, Department of Electrical Engineering, National Taiwan Ocean University, Keelung, Taiwan 202, R.O.C. Department of Electrical Engineering, Hwa Hsia Institute of Technology, Chung Ho, Taipei, Taiwan 235, R.O.C.
Jenny Chih-Yu Lee, Department of Microelectronic Engineering, National Kaohsiung Marine University, Nantzu, Kaohsiung, Taiwan 811, R.O.C.
Shun-Hsyung Chang, Department of Electrical Engineering, National Taiwan Ocean University, Keelung, Taiwan 202, R.O.C. Department of Microelectronic Engineering, National Kaohsiung Marine University, Nantzu, Kaohsiung, Taiwan 811, R.O.C.Follow

Abstract

This paper proposes the use of shift-invariant dual-tree discrete wavelet transform (DT DWT) noise model to the problem of a multipath signal detection in underwater environment. The design procedure for this adaptive model of the background noise is described. When an input signal is shifted, as in a multipath environment, this shift-invariant DT DWT can generate multi-resolution subspaces. Each of them keeps more coefficient energy of this signal than DWT’s. The result of computer simulations shows that this method can improve the performance of a multipath signal detection, by reducing the false alarm probability in a range of different signal-tonoise (SNR) ratios.

Recommended Citation

Wang, Fu-Tai; Lee, Jenny Chih-Yu; and Chang, Shun-Hsyung (2006) "WAVELET-BASED SHIFT-INVARIANT NOISE MODEL," Journal of Marine Science and Technology: Vol. 14: Iss. 4, Article 1.
DOI: 10.51400/2709-6998.2080
Available at: https://jmstt.ntou.edu.tw/journal/vol14/iss4/1