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Efficient implementation of data binning in sectors
KTH, School of Electrical Engineering (EES), Signal Processing. KTH, School of Electrical Engineering (EES), Centres, ACCESS Linnaeus Centre.
2012 (English)Report (Other academic)
Abstract [en]

We analyze the implementation of data binning of $\mathbb{R}^2$-vectors or complex numbers in sectors defined by ranges of vector/complex arguments. The binning problem is formalized and 4 different equivalent formulations are given resulting in 4 different solution methods. The 4 different methods have different implementation properties making them favorable on different platforms and under different circumstances. Binning with respect to the vector/complex number magnitude is also briefly covered. All methods are presented in a common bisection framework which make them easy to compare. The methods are given in basic arithmetic operations and logics and are directly emendable for implementation for both integer, fixed and floating point data. Detailed implementation aspects and optimizations are discussed and C-code snippets are given for the different methods.

Place, publisher, year, edition, pages
Stockholm: KTH Royal Institute of Technology, 2012. , 32 p.
TRITA-EE, ISSN 1653-5146 ; 2012:041
National Category
Signal Processing
URN: urn:nbn:se:kth:diva-101699OAI: diva2:548677

QC 201201001

Available from: 2012-10-01 Created: 2012-08-31 Last updated: 2015-03-04Bibliographically approved

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Nilsson, John-Olof
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Signal ProcessingACCESS Linnaeus Centre
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