Papers
Topics
Authors
Recent
Gemini 2.5 Flash
Gemini 2.5 Flash
157 tokens/sec
GPT-4o
8 tokens/sec
Gemini 2.5 Pro Pro
46 tokens/sec
o3 Pro
4 tokens/sec
GPT-4.1 Pro
38 tokens/sec
DeepSeek R1 via Azure Pro
28 tokens/sec
2000 character limit reached

Analysis of Statistical Properties of Nonlinear Feedforward Generators Over Finite Fields (1807.03033v1)

Published 9 Jul 2018 in cs.IT and math.IT

Abstract: Due to their simple construction, LFSRs are commonly used as building blocks in various random number generators. Nonlinear feedforward logic is incorporated in LFSRs to increase the linear complexity of the generated sequence. In this work, we extend the idea of nonlinear feedforward logic to LFSRs over arbitrary finite fields and analyze the statistical properties of the generated sequences. Further, we propose a method of applying nonlinear feedforward logic to word-based {\sigma}-LFSRs and show that the proposed scheme generates vector sequences that are statistically more balanced than those generated by an existing scheme.

Citations (1)

Summary

We haven't generated a summary for this paper yet.