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Nonuniform DFT

  • K. R. Rao
  • D. N. Kim
  • J. J. Hwang
Chapter
Part of the Signals and Communication Technology book series (SCT)

Abstract

For signals consisting of a number of frequency components, the Fourier transform 4 (FT) effectively reveals their frequency contents and is generally able to represent 5 the signals with an acceptable resolution divided by equal bandwidth in the 6 frequency domain. The discrete Fourier transform (DFT) is an important tool for 7 digital signal processing, in which the N-point DFT of a length-N sequence is given 8 by the frequency samples at N-uniformly spaced points [W23]. It has been widely 9 applied in solving both time-domain and frequency-domain problems, signal anal- 10 ysis/synthesis, detection/estimation, and data compression [B6].

Keywords

Discrete Fourier Transform Nonuniform Sample Space Grid Point Vandermonde Matrice Chebyshev Filter 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer Science+Business Media B.V. 2010

Authors and Affiliations

  1. 1.Electr. EngineeringUniv. of Texas at ArlingtonArlingtonUSA
  2. 2.School of Electron. & Inform. EngineeringKunsan National Univ.KunsanKorea, Republic of (South Korea)

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