Title :
Band-limited interpolation from unevenly spaced sampled data
Author :
Soumekh, Mehrdad
Author_Institution :
Dept. of Electr. & Comput. Eng., State Univ. of New York, Amherst, NY, USA
fDate :
1/1/1988 12:00:00 AM
Abstract :
The author addresses the problem of reconstructing a bandlimited signal from a finite number of its unevenly spaced sampled data. A Fourier analysis of the available unevenly spaced sampled data is presented. The result is utilized to develop an interpolation scheme from the available data. Conditions for accurate reconstruction are examined. Algorithms to implement the reconstruction scheme are discussed. The method´s application to one-dimensional and two-dimensional reconstruction problems is shown
Keywords :
Fourier analysis; interpolation; signal processing; Fourier analysis; algorithms; bandlimited signal; interpolation scheme; one-dimensional signal reconstruction; reconstruction scheme; two-dimensional reconstruction problems; unevenly spaced sampled data; Data analysis; Discrete Fourier transforms; Fourier transforms; Frequency domain analysis; Image reconstruction; Interpolation; Inverse problems; Jacobian matrices; Multidimensional systems; Tomography;
Journal_Title :
Acoustics, Speech and Signal Processing, IEEE Transactions on