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In this paper, signal denoising approach has been employed to enhance the detection performance of the energy detection (ED) technique via reducing the noise effects on the PU signal that is received by the secondary user (SU). Hybrid slantlet transform (HST) has been used to implement the proposed technique. HST is a mixed transform between discrete wavelet transform (DWT) and slantlet transform...
The performance of energy detection (ED) technique is highly affected by the noise fluctuation which leads to degrade the cognitive radio (CR) system accuracy. Therefore, many methods have been proposed and designed to enhance the CR system performance. In this paper, an improvement for ED performance is achieved by using digital signal processing (DSP) for the primary user (PU) signal before taking...
The accuracy for any spectrum sensing technique in cognitive radio (CR) is affected by the transmission channel parameters such as the signal to noise ratio (SNR). In this paper, a special approach is used to estimate the SNR in the received primary user (PU) signal. This approach is based on using filter bank transform which is called hybrid slantlet transform (HST). This transform decomposes the...
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