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Classification of interfering signals that belong to different wireless standards is important topic in wireless communications. In this paper, we propose a procedure for separation and classification of wireless signals belonging to the Bluetooth and to the IEEE 802.11b standards. These signals operate in the same frequency band and may interfere with each other. The procedure is made of a few steps...
The procedure for the classification and reconstruction of randomly under-sampled signals transmitted through the communication channel, is proposed in this paper. The focus of this work is on the wireless communication signals that operate in the same frequency band and may interfere with each other. In the first stage, the separation of signal components is done by applying the concept of eigenvalue...
A compressive sensing approach for separation of linear frequency modulated signals from non-stationary disturbance is proposed. The linear time-frequency representation is achieved using the Local Polynomial Fourier Transform (LPFT), which allows revealing data local behavior. Based on the LPFT, the frequency-chirp rate domain is used to achieve sparse signal representation. Then the LPFT is combined...
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