Advanced Multiresolution Wavelet Based Wideband Spectrum Sensing Technique for Cognitive Radio

<table class="figure-group"><tr class="fig-image" id="a"><td><object data="https://static-preview.hindawi.com/articles/wcmc/volume-2018/1908536/figures/1908536.fig.001a.svgz" name="1908536.fig.001a" type="image/svg+xml"></object></td></tr><tr class="fig-caption"><td><b>(a) </b>Two-level decomposition of DWT</td></tr><tr class="fig-image" id="b"><td><object data="https://static-preview.hindawi.com/articles/wcmc/volume-2018/1908536/figures/1908536.fig.001b.svgz" name="1908536.fig.001b" type="image/svg+xml"></object></td></tr><tr class="fig-caption"><td><b>(b) </b>Two-level frequency separation of DWT using ideal filter bank</td></tr></table>

<div>Decomposition of DWT and its frequency separation.</div>

Wireless Communications and Mobile Computing

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Figure 1

Figure 1: Advanced Multiresolution Wavelet Based Wideband Spectrum Sensing Technique for Cognitive Radio 