Generalized refined composite multiscale fuzzy entropy and multi-cluster feature selection based intelligent fault diagnosis of rolling bearing
J Zheng, H Pan, J Tong, Q Liu - ISA transactions, 2022 - Elsevier
Extracting the failure related information from vibration signals is a very important aspect of
vibration-based fault detection for rolling bearing Multiscale entropy and its improvement …
vibration-based fault detection for rolling bearing Multiscale entropy and its improvement …
A list of maximum-period NLFSRs
E Dubrova - 2012 - diva-portal.org
Non-Linear Feedback Shift Registers (NLFSRs) are a generalization of Linear Feedback
Shift Registers (LFSRs) in which a current state is a nonlinear function of the previous state …
Shift Registers (LFSRs) in which a current state is a nonlinear function of the previous state …
A Survey on Complexity Measures for Pseudo-Random Sequences
C Li - Cryptography, 2024 - mdpi.com
Since the introduction of the Kolmogorov complexity of binary sequences in the 1960s, there
have been significant advancements on the topic of complexity measures for randomness …
have been significant advancements on the topic of complexity measures for randomness …
On minimum period of nonlinear feedback shift registers in grain-like structure
J Zhong, D Lin - IEEE Transactions on Information Theory, 2018 - ieeexplore.ieee.org
Grain is one of three hardware-oriented finalists of the eSTREAM Project. A nonlinear
feedback shift register (NFSR) in Grain-like structure is a cascade connection of a linear …
feedback shift register (NFSR) in Grain-like structure is a cascade connection of a linear …
New approach to epileptic diagnosis using visibility graph of high-frequency signal
A new nonlinear approach is presented for high-frequency electrocorticography (ECoG)-
based diagnosis of epilepsy. The ECoG data from 3 patients with epilepsy are analyzed in …
based diagnosis of epilepsy. The ECoG data from 3 patients with epilepsy are analyzed in …
Further Investigations on Nonlinear Complexity of Periodic Binary Sequences
Nonlinear complexity is an important measure for assessing the randomness of sequences.
In this paper we investigate how circular shifts affect the nonlinear complexities of finite …
In this paper we investigate how circular shifts affect the nonlinear complexities of finite …
Novel way to research nonlinear feedback shift register
In this paper, we regard the nonlinear feedback shift register (NLFSR) as a special Boolean
network, and use semi-tensor product of matrices and matrix expression of logic to convert …
network, and use semi-tensor product of matrices and matrix expression of logic to convert …
Sequences with high nonlinear complexity
H Niederreiter, C Xing - IEEE Transactions on Information …, 2014 - ieeexplore.ieee.org
We improve lower bounds on the k th-order nonlinear complexity of pseudorandom
sequences over finite fields, including explicit inversive sequences and sequences obtained …
sequences over finite fields, including explicit inversive sequences and sequences obtained …
Construction of sequences with high nonlinear complexity from function fields
Y Luo, C Xing, L You - IEEE Transactions on Information …, 2017 - ieeexplore.ieee.org
Complexity of sequences plays an important role in pseudorandom sequences and
cryptography. In this paper, we present a construction of sequences with high nonlinear …
cryptography. In this paper, we present a construction of sequences with high nonlinear …
Quasi-symmetric designs on 56 points
V Krčadinac, RV Kruc - arXiv preprint arXiv:2003.05556, 2020 - arxiv.org
Computational techniques for the construction of quasi-symmetric block designs are
explored and applied to the case with $56 $ points. One new $(56, 16, 18) $ and many new …
explored and applied to the case with $56 $ points. One new $(56, 16, 18) $ and many new …