Power spectral density estimation from random interleaved samples
暂无分享,去创建一个
Hu Lin | Liu Jingjing | Wang Qi | Zhang Peng | Zhao Yijiu | Yang Xi | Fu Zaiming
[1] S. Kirolos,et al. Analog-to-Information Conversion via Random Demodulation , 2006, 2006 IEEE Dallas/CAS Workshop on Design, Applications, Integration and Software.
[2] Yu Hen Hu,et al. Enhanced Random Equivalent Sampling Based on Compressed Sensing , 2012, IEEE Transactions on Instrumentation and Measurement.
[3] Geert Leus,et al. Multi-coset sampling for power spectrum blind sensing , 2011, 2011 17th International Conference on Digital Signal Processing (DSP).
[4] F.M.C. Clemencio,et al. An Easy Procedure for Calibrating Data Acquisition Systems Using Interleaving , 2007, IEEE Transactions on Nuclear Science.
[5] Emmanuel J. Candès,et al. Robust uncertainty principles: exact signal reconstruction from highly incomplete frequency information , 2004, IEEE Transactions on Information Theory.
[6] Yonina C. Eldar,et al. From Theory to Practice: Sub-Nyquist Sampling of Sparse Wideband Analog Signals , 2009, IEEE Journal of Selected Topics in Signal Processing.
[7] David L Donoho,et al. Compressed sensing , 2006, IEEE Transactions on Information Theory.
[8] Yonina C. Eldar,et al. Blind Multiband Signal Reconstruction: Compressed Sensing for Analog Signals , 2007, IEEE Transactions on Signal Processing.
[9] Long Ling,et al. Model calibration for compressive sampling system with non-ideal lowpass filter , 2015, 2015 12th IEEE International Conference on Electronic Measurement & Instruments (ICEMI).
[10] Yuanjin Zheng,et al. Multichannel Time Skew Calibration for Time-Interleaved ADCs Using Clock Signal , 2016, Circuits Syst. Signal Process..
[11] Justin K. Romberg,et al. Beyond Nyquist: Efficient Sampling of Sparse Bandlimited Signals , 2009, IEEE Transactions on Information Theory.
[12] Peter R. Kinget,et al. Theory and Design of a Quadrature Analog-to-Information Converter for Energy-Efficient Wideband Spectrum Sensing , 2015, IEEE Transactions on Circuits and Systems I: Regular Papers.