Second Order Taylor Polyphase Reconstruction of Periodic-Nonuniform Samples in Time-Interleaved ADCs
This paper focuses on a filter bank approach for reconstructing periodic-nonuniform samples using second order Taylor polyphase decomposition for a four-channel time-interleaved ADC (TIADC). The proposed method is based on a parametric linear least squares approach to find the coefficients of synthe...
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| Veröffentlicht in: | Journal of signal processing systems 2014-12, Vol.77 (3), p.297-303 |
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| container_title | Journal of signal processing systems |
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| creator | Shahmansoori, Arash Lundheim, Lars M. |
| description | This paper focuses on a filter bank approach for reconstructing periodic-nonuniform samples using second order Taylor polyphase decomposition for a four-channel time-interleaved ADC (TIADC). The proposed method is based on a parametric linear least squares approach to find the coefficients of synthesis filters used for signal reconstruction of periodic-nonuniform samples. The coefficients of synthesis filters found by linear least squares approach satisfy the general condition for an alias-free filter bank. |
| doi_str_mv | 10.1007/s11265-013-0822-7 |
| format | Article |
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| language | eng |
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| subjects | Circuits and Systems Computer Imaging Decomposition Electrical Engineering Engineering Filter banks Image Processing and Computer Vision Least squares method Pattern Recognition Pattern Recognition and Graphics Reconstruction Signal processing Signal reconstruction Signal,Image and Speech Processing Synthesis Vision |
| title | Second Order Taylor Polyphase Reconstruction of Periodic-Nonuniform Samples in Time-Interleaved ADCs |
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