Title :
Perfect reconstruction formulas and bounds on aliasing error in sub-Nyquist nonuniform sampling of multiband signals
Author :
Venkataramani, Raman ; Bresler, Yoram
Author_Institution :
Dept. of Electr. & Comput. Eng., Illinois Univ., Urbana, IL, USA
fDate :
9/1/2000 12:00:00 AM
Abstract :
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 ℬ(ℱ) of multiband signals with spectral support ℱ, at rates arbitrarily close to the Landau (1969) minimum rate equal to the Lebesgue measure of ℱ, even when ℱ 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 ℱ” (the smallest interval containing ℱ) which is a bigger class than the valid signals ℬ(ℱ), band-limited to ℱ. We also examine the performance of the reconstruction system when the input contains additive sample noise
Keywords :
bandlimited signals; error analysis; noise; optimisation; signal reconstruction; signal sampling; spectral analysis; Landau minimum rate; Lebesgue measure; additive sample noise; aliasing error bounds; band-limited input signal; exact reconstruction conditions; explicit reconstruction formula; multiband signals; optimality property; perfect reconstruction formulas; performance; periodic nonuniform sampling; signal reconstruction; spectral support; sub-Nyquist nonuniform sampling; Additive noise; Filtering; Fourier transforms; Frequency domain analysis; Helium; Low pass filters; Nonuniform sampling; Sampling methods; Signal representations; Tiles;
Journal_Title :
Information Theory, IEEE Transactions on