A novel Digital Alias-free Signal Processing method by using Weighted Periodic Nonuniform Sampling
Dong Qu, Baoshan Ma, Jian Xin Zhou · 2010 3rd International Congress on Image and Signal Processing · 2010
Weighted Periodic Nonuniform Sampling (WPNS) for Digital Alias-free Signal Processing is analysed. The methodology of measuring the level of aliasing within the required range of frequencies is proposed. The optimal WPNS is found by searching a carefully selected subspace of feasible solutions and applying Lawson algorithm for weight calculation. We describe the improvements that have been made to the algorithm of searching the optimal sampling instants. It is shown that WPNS has better alias-suppression properties than traditional PNS.