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A Fast Binary Logarithm Algorithm [DSP Tips & Tricks

IEEE Signal Processing Magazine, 2010
This article presents a computationally fast algorithm for computing logarithms. The algorithm is particularly well suited for implementation using fixed-point processors.
C. S. Turner
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Computation of the Base Two Logarithm of Binary Numbers

IEEE Transactions on Electronic Computers, 1965
An approximation to the computation of the base two logarithm of a binary number, realized with binary circuitry, is described. It is known that the logarithm can be obtained approximately from the binary number itself by simple counting and shifting. A method for the reduction of the resulting approximation error by a factor six is given.
M. Combet, H. Van Zonneveld, L. Verbeek
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On Computer Multiplication and Division Using Binary Logarithms

open access: closedIEEE Transactions on Electronic Computers, 1963
E. V. Krishnamurthy
openalex   +2 more sources

FPGA Design and Implementation of an Improved 32-bit Binary Logarithm Converter

open access: closedInternational Conference on Wireless Communications, Networking and Mobile Computing, 2008
Zhijun Li   +3 more
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Exponentiation Using Binary Logarithms

IETE Journal of Research, 1980
A method for digital exponentiation is described. In the method, the binary lg lg (lgN=log2N) of the number (say, z=yz) is computed, The required value (z) is obtained by taking antilogarithm twice. The determination of the logarithm and antilogarithm can be accomplished by simple shifting of the registers in a digital logic, thus the exponentiation ...
I.U. Ansari, V.K. Srivastava
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Upper bounds on the numbers of binary plateaued and bent functions

Cryptography and Communications, 2023
We prove that the logarithm of the number of binary n-variable bent functions is asymptotically less than 11322n\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy ...
V. Potapov
semanticscholar   +1 more source

Face recognition based on logarithmic local binary patterns

SPIE Proceedings, 2013
This paper presents a novel approach to the problem of face recognition that combines the classical Local Binary Pattern (LBP) feature descriptors with image processing in the logarithmic domain and the human visual system. Particularly, we have introduced parameterized logarithmic image processing (PLIP) operators based LBP feature extractor.
Debashree Mandal   +2 more
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Efficient algorithms for binary logarithmic conversion and addition

ISCAS '98. Proceedings of the 1998 IEEE International Symposium on Circuits and Systems (Cat. No.98CH36187), 1999
The logarithm number system is an attractive alternative to the conventional number systems when data needs to be manipulated at a very high rate over a wide range. The major problem is deriving logarithms and antilogarithms quickly and accurately enough to allow conversions to and from conventional number representations.
Y. Wan, C. L. Wey
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