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Pseudo‐random Gaussian distribution through optimised LFSR permutations

2015/11/06 by C. Condo, Carlo Condo, Warren J. Gross +1 · 1 citation
Computer Science · #Algorithms and Data Compression #Error Correcting Code Techniques #Chaos-based Image/Signal Encryption

paper · pdf · doi:10.1049/el.2015.3418

Abstract

Efficient hardware solutions to generate Gaussian‐distributed random numbers are required in many applications. Linear feedback shift registers (LFSRs) are a low‐complexity implementation of an approximated uniform pseudo‐random distribution: multiple LFSRs can be used in combination to approximate a Gaussian distribution with a low complexity cost. The technique proposed in this work exploits the same principle but relies on a single LFSR and ad‐hoc permutations of its bits to obtain an accurate approximation of a Gaussian distribution with low maximum autocorrelation, leading to a very low complexity implementation of a Gaussian pseudo‐random number generator.

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