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In this paper, we first demonstrate that a cyclostationary process is an oscillatory process which has a periodic evolutionary spectral, and we determine the relation between spectral correlation function and the periodic evolutionary spectral. Next, based on harmonic series representation (HSR) (a Fourier series with time varying lowpass coefficients representation that reveals the pertinent properties...
In this paper, we provide a new approach in ultra Wideband (UWB) radars based on a Fourier series with time-varying coefficients resulting in a second-order cyclostationary characteristics for stationary (low-mobility) target and almost second-order cyclostationary characteristics in moving target scenario. We also provide a new method for blind detection based on detecting the presence of cyclostationarity...
In this paper, we model an almost cyclostationary signal as Fourier series expansion with lowpass time-varying coefficients and then provide a new approach to detect a cyclostationary signal in spectrum sensing cognitive radio paradigm. The lowpass time-varying coefficients of the cyclostationary signals are expanded by prolate spheroidal sequences (DPSS) as the unconditional orthonormal bases which...
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