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Robust Wiener filtering

  • Alexander Nebylov
Chapter
Part of the Lecture Notes in Control and Information Science book series (LNCIS, volume 305)

Abstract

Problem definition. Wiener filtering consists of the linear processing of the additive mixture of casual stationary signal and interference. The signal with the least possible r.-m.-s. error must be recovered in processing. In a more general case, it is necessary to estimate not only the signal itself, but also some of its linear functional transform, characterized by the ideal conversing operator H id . The diagram of filtering error formation is shown in Fig. 4.1.

Keywords

Spectral Density Boundary Function Band Model Frequency Axis Optimal 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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Authors and Affiliations

  • Alexander Nebylov
    • 1
  1. 1.International Institute for Advanced Aerospace Technologies (IIAAT) St. Petersburg State University of Aerospace Instrumentation 67, Bolshaya Morskaya 190000 St. Petersburg Russian Federation 

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