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- W1575101300 abstract "Publisher Summary This chapter presents an overview of the state of the art of practical applications of the Wigner distribution (WD) in image processing. It has been claimed that the WD has the best properties to be used in image processing, against other joint representations of this kind. Thus, it has the best resolution, which is matched to that of the image in both domains. It overcomes the resolution trade-offs that traditionally have limited the utility of windowed power spectrum analysis. And in addition, the WD is a joint bilinear representation—very close to being positive invariant within linear transformations—and it contains all image information. Other fields where the WD has become a useful tool are signal processing, speech representation and analysis of detection problems, and the theory of communication. Furthermore, the chapter discusses space (time)-frequency distributions using Cohen's unified approach, and the WDs interference problems—introduced by the bilinear definition—are discussed in the context of pattern recognition and image analysis applications." @default.
- W1575101300 created "2016-06-24" @default.
- W1575101300 creator A5069299402 @default.
- W1575101300 creator A5077372333 @default.
- W1575101300 creator A5077904184 @default.
- W1575101300 date "1991-01-01" @default.
- W1575101300 modified "2023-09-25" @default.
- W1575101300 title "Image Filtering and Analysis through the Wigner Distribution" @default.
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