Sinc interpolation of nonuniform samples
MetadataShow full item record
It is well known that a bandlimited signal can be uniquely recovered from nonuniformly spaced samples under certain conditions on the nonuniform grid and provided that the average sampling rate meets or exceeds the Nyquist rate. However, reconstruction of the continuous-time signal from nonuniform samples is typically more difficult to implement than from uniform samples. Motivated by the fact that sinc interpolation results in perfect reconstruction for uniform sampling, we develop a class of approximate reconstruction methods from nonuniform samples based on the use of time-invariant lowpass filtering, i.e., sinc interpolation. The methods discussed consist of four cases incorporated in a single framework. The case of sub-Nyquist sampling is also discussed and nonuniform sampling is shown as a possible approach to mitigating the impact of aliasing.
IEEE Transactions on Signal Processing
Institute of Electrical and Electronics Engineers (IEEE)
Maymon, Shay, and Alan V. Oppenheim. “Sinc Interpolation of Nonuniform Samples.” IEEE Transactions on Signal Processing 59.10 (2011): 4745–4758.
Author's final manuscript