Perfect reconstruction formulas and bounds on aliasing error in sub-Nyquist nonuniform sampling of multiband signals 论文

2000IEEE Transactions on Information Theory引用 296
Mathematical Analysis and Transform MethodsSparse and Compressive Sensing TechniquesImage and Signal Denoising Methods

详细信息

发表期刊/会议
IEEE Transactions on Information Theory
发表日期
2000-01-01
发表年份
2000

关键词

Mathematical Analysis and Transform MethodsSparse and Compressive Sensing TechniquesImage and Signal Denoising Methods

摘要

We examine the problem of periodic nonuniform sampling of a multiband signal and its reconstruction from the samples. This sampling scheme, which has been studied previously, has an interesting optimality property that uniform sampling lacks: one can sample and reconstruct the class /spl Bscr/(/spl Fscr/) of multiband signals with spectral support /spl Fscr/, at rates arbitrarily close to the Landau (1969) minimum rate equal to the Lebesgue measure of /spl Fscr/, even when /spl Fscr/ does not tile R under translation. Using the conditions for exact reconstruction, we derive an explicit reconstruction formula. We compute bounds on the peak value and the energy of the aliasing error in the event that the input signal is band-limited to the "span of /spl Fscr/" (the smallest interval containing /spl Fscr/) which is a bigger class than the valid signals /spl Bscr/(/spl Fscr/), band-limited to /spl Fscr/. We also examine the performance of the reconstruction system when the input contains additive sample noise.