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Makale detayı · 1997

Optimal filtering in fractional Fourier domains

Dergi

IEEE Transactions on Signal Processing
OpenAlex SJR Q1 JCR Q1 Atıf 297 Üst %1 Yüzdelik 99.7% FWCI 13.42
Yıl
1997
Tür
article

Veri kaynağı ayrımı

  • YÖKSİS dergi adı IEEE Transactions on Signal Processing
  • OpenAlex OpenAlex zenginleştirmesi (özet, atıf, konular)

Özet

OpenAlex · İngilizce

For time-invariant degradation models and stationary signals and noise, the classical Fourier domain Wiener filter, which can be implemented in O(N log N) time, gives the minimum mean-square-error estimate of the original undistorted signal. For time-varying degradations and nonstationary processes, however, the optimal linear estimate requires O(N/sup 2/) time for implementation. We consider filtering in fractional Fourier domains, which enables significant reduction of the error compared with ordinary Fourier domain filtering for certain types of degradation and noise (especially of chirped nature), while requiring only O(N log N) implementation time. Thus, improved performance is achieved at no additional cost. Expressions for the optimal filter functions in fractional domains are derived, and several illustrative examples are given in which significant reduction of the error (by a factor of 50) is obtained.

Konular

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