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Majorization theory...
Majorization theory and applications
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- Wang, Jiaheng (författare)
- KTH
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Palomar, D. (författare)
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(creator_code:org_t)
- 2017-12-04
- 2017
- Engelska.
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Ingår i: Mathematical Foundations for Signal Processing, Communications, and Networking. - : CRC Press. - 9781439855140 - 9781138072169 ; , s. 561-598
- Relaterad länk:
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https://urn.kb.se/re...
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visa fler...
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https://doi.org/10.1...
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Abstract
Ämnesord
Stäng
- In this chapter we introduce a useful mathematical tool, namely Majorization Theory, and illustrate its applications in a variety of scenarios in signal processing and communication systems. Majorization is a partial ordering and precisely defines the vague notion that the components of a vector are “less spread out” or “more nearly equal” than the components of another vector. Functions that preserve the ordering of majorization are said to be Schur-convex or Schur-concave. Many problems arising in signal processing and communications involve comparing vector-valued strategies or solving optimization problems with vector- or matrix-valued variables. Majorization theory is a key tool that allows us to solve or simplify these problems.
Ämnesord
- TEKNIK OCH TEKNOLOGIER -- Elektroteknik och elektronik -- Signalbehandling (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Electrical Engineering, Electronic Engineering, Information Engineering -- Signal Processing (hsv//eng)
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