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A method for accurate and efficient parameter estimation and decomposition of sinusoidally frequency modulated signals is presented. These kinds of signals are of special interest in radars and communications. The proposed method is based on the inverse Radon transform property to transform a two-dimensional sinusoidal pattern into a single point in a two-dimensional plane. Since the signal is well...
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...
A method for accurate and efficient parameters estimation and decomposition of sinusoidally modulated signals is presented. This kind of signals is of special interest in radars and communications. The proposed method is based on the inverse Radon transform property to transform a two-dimensional sinusoidal pattern into a single point in a two-dimensional plane. Theory is illustrated on signals with...
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