Wideband Sparse Signal Acquisition With Dual-rate Time-Interleaved Undersampling Hardware and Multicoset Signal Reconstruction Algorithms PROJECT TITLE :Wideband Sparse Signal Acquisition With Dual-rate Time-Interleaved Undersampling Hardware and Multicoset Signal Reconstruction AlgorithmsABSTRACT:A new undersampling-based dual-rate signal acquisition technique for measuring a wideband sparse signal (i.e., a multiband signal) is presented in this paper. The proposed design employs a combination of twin-rate time-interleaved undersampling hardware and associated multicoset back-finish Signal Processing algorithms. In twin-rate sampling hardware, a pair of uniform samplers is employed to amass a standard incoming wideband sparse signal while the operation frequencies of the two samplers have a small frequency offset. Thanks to the sampling frequency offset, the time grids of the samples obtained from the 2 samplers are irregularly spaced. These nonuniform periodic samples are then digitally re-sequenced and applied as input to a multicoset signal reconstruction algorithm. The multicoset signal reconstruction algorithm uses the re-sequenced nonuniform periodic samples to realize a perfect reconstruction of the original wideband signal with an enhanced time resolution beyond the sampling hardware’s capability. Compared to the standard multi-channel sampling approach commonly used with multicoset algorithms, the proposed method uses fewer sampling channels and will not need their accurate clock phase adjustment. Did you like this research project? To get this research project Guidelines, Training and Code... Click Here facebook twitter google+ linkedin stumble pinterest Endogenous Assessment of the Capacity Value of Solar PV in Generation Investment Planning Studies Improving M-SBL for Joint Sparse Recovery Using a Subspace Penalty