Signals & systems (2nd ed.)
Linear System Theory and Design
Linear System Theory and Design
Wavelet Based Image Denoising Using Adaptive Thresholding
ICCIMA '07 Proceedings of the International Conference on Computational Intelligence and Multimedia Applications (ICCIMA 2007) - Volume 03
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Electronic warfare (EW) is commonly divided into three subfields: electronic warfare support (ES), electronic attack (EA), and electronic protection (EP). Among them, ES systems take charge of collecting and analyzing the received signal from enemy's emitters and then provide the processed information to friendly EA and EP systems. The information is of critical importance because it is the first prerequisite for the proper discharge of duties of EA and EP systems and is directly linked to the issue of a battle. However, ES systems have difficulty in carrying out their jobs because there are some cases of having no information about enemy's operating frequency and the received signal power is sometimes seriously weak. In this paper, we propose a novel method to solve these problems at once based on the modified wavelet transform by using the unique scaling property of continuous time wavelet transform and the frequency shifting property. Computer simulation results show that the proposed method can be useful and practical to cope with low SNR environment.