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Sparse Detection in the Chirplet Transform: Application to FMCW Radar Signals.

, and . IEEE Trans. Signal Process., 60 (6): 2800-2813 (2012)

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Time samples selection in spiral acquisition for sparse magnetic resonance spectroscopic imaging., , , , and . ICIP, page 4128-4131. IEEE, (2017)A low-complexity sub-Nyquist sampling system for wideband Radar ESM receivers., , , and . ICASSP, page 1788-1792. IEEE, (2014)Discrimination between emboli and artifacts for outpatient transcranial Doppler ultrasound data., , , , and . Medical Biol. Eng. Comput., 55 (10): 1787-1797 (2017)Short Time Fourier Transform Probability Distribution for Time-Frequency Segmentation., , and . ICASSP (3), page 448-451. IEEE, (2006)Time Undersampled Acquisition for Multidimensional Sparse Signals With Application to Magnetic Resonance Spectroscopic Imaging., , , , and . IEEE Trans. Signal Process., (2021)On the Probability Distributions of Spectrogram Coefficients for Correlated Gaussian Process., , and . ICASSP (3), page 436-439. IEEE, (2006)Detection and segmentation of fmcw radar signals based on the chirplet transform., and . ICASSP, page 1765-1768. IEEE, (2011)Circularity of the STFT and Spectral Kurtosis for Time-Frequency Segmentation in Gaussian Environment., and . IEEE Trans. Signal Process., 59 (2): 515-524 (2011)Sparse Detection in the Chirplet Transform: Application to FMCW Radar Signals., and . IEEE Trans. Signal Process., 60 (6): 2800-2813 (2012)Estimation of a white Gaussian noise in the Short Time Fourier Transform based on the spectral kurtosis of the minimal statistics: Application to underwater noise., and . ICASSP, page 5638-5641. IEEE, (2010)