Time-Frequency Localization of Linear Signal Spaces

  • Franz Hlawatsch
Part of the The Kluwer International Series in Engineering and Computer Science book series (SECS, volume 440)

Abstract

Several basic properties of the WD of a linear signal space have been discussed in the previous chapter. In this chapter, we consider properties that are related to the geometry of the WD and to the TF localization of a space. For example, we study the relation between the orthogonality of two spaces and the TF disjointness of their WDs. We introduce a distinction between “simple” and “sophisticated” spaces that has a direct bearing on the shape of the WD and the TF shifts caused by the space’s projection operator. Quantitative measures of a space’s TF concentration are introduced, bounds for these concentration measures (generalizing conventional uncertainty relations) are formulated, and the “maximally concentrated” spaces attaining these bounds are explicitly characterized.

Keywords

Uncertainty Relation Basis Signal Signal Space WIGNER Distribution Temporal Concentration 
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 New York 1998

Authors and Affiliations

  • Franz Hlawatsch
    • 1
  1. 1.Vienna University of TechnologyAustria

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