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Page 1
Nonlinear and noisy extension of independent component analysis: theory and its application to a pitch sensation model.
Maeda S, Song WJ, Ishii S. Maeda S, et al. Neural Comput. 2005 Jan;17(1):115-44. doi: 10.1162/0899766052530866. Neural Comput. 2005. PMID: 15563750
Our model involves some algorithms of noisy linear ICA (e. g., Bermond & Cardoso, 1999) or noise-free nonlinear ICA (e. g., Lee, Koehler, & Orglmeister, 1997) as special cases. ...Since our model includes a cepstrum analysis in a special case, it is expected to pro …
Our model involves some algorithms of noisy linear ICA (e. g., Bermond & Cardoso, 1999) or noise-free nonlinear ICA (e. g., Lee, …
Analysis for global characteristics of Lyapunov exponents in vehicle plane motion system.
Meng F, Shi S, Zhang B, Bai M, Lin N. Meng F, et al. Sci Rep. 2022 Jun 3;12(1):9300. doi: 10.1038/s41598-022-13411-x. Sci Rep. 2022. PMID: 35665768 Free PMC article.
It was used to studied the stable region of nonlinear vehicle plane motion system. However, the effect of Lyapunov exponents method in revealing the global dynamics characteristics has not been fully studied. ...The research and analysis in this paper supplement the …
It was used to studied the stable region of nonlinear vehicle plane motion system. However, the effect of Lyapunov exponents metho …
Spectral shifted Chebyshev collocation technique with residual power series algorithm for time fractional problems.
Rida SZ, Arafa AAM, Hussein HS, Ameen IG, Mostafa MMM. Rida SZ, et al. Sci Rep. 2024 Apr 15;14(1):8683. doi: 10.1038/s41598-024-58493-x. Sci Rep. 2024. PMID: 38622192 Free article.
Collocation technique for shifted Chebyshev of the second kind with residual power series algorithm (CTSCSK-RPSA) is the main method for solving these problems. Moreover, error analysis theory is provided in detail. Numerical solutions provided using CTSCSK-R …
Collocation technique for shifted Chebyshev of the second kind with residual power series algorithm (CTSCSK-RPSA) is the main method …
Extinction and persistence of a stochastic SIRV epidemic model with nonlinear incidence rate.
Rifhat R, Teng Z, Wang C. Rifhat R, et al. Adv Differ Equ. 2021;2021(1):200. doi: 10.1186/s13662-021-03347-3. Epub 2021 Apr 8. Adv Differ Equ. 2021. PMID: 33846684 Free PMC article.
In this paper, a stochastic SIRV epidemic model with general nonlinear incidence and vaccination is investigated. The value of our study lies in two aspects. Mathematically, with the help of Lyapunov function method and stochastic analysis theory, we o …
In this paper, a stochastic SIRV epidemic model with general nonlinear incidence and vaccination is investigated. The value of our st …
A pertinent approach to solve nonlinear fuzzy integro-differential equations.
Narayanamoorthy S, Sathiyapriya SP. Narayanamoorthy S, et al. Springerplus. 2016 Apr 14;5:449. doi: 10.1186/s40064-016-2045-4. eCollection 2016. Springerplus. 2016. PMID: 27119053 Free PMC article.
Fuzzy integro-differential equations is one of the important parts of fuzzy analysis theory that holds theoretical as well as applicable values in analytical dynamics and so an appropriate computational algorithm to solve them is in essence. In this article, we use …
Fuzzy integro-differential equations is one of the important parts of fuzzy analysis theory that holds theoretical as well as …
Fuzzy-Model-Based Output Feedback Reliable Control for Network-Based Semi-Markov Jump Nonlinear Systems Subject to Redundant Channels.
Shen H, Li F, Cao J, Wu ZG, Lu G. Shen H, et al. IEEE Trans Cybern. 2020 Nov;50(11):4599-4609. doi: 10.1109/TCYB.2019.2959908. Epub 2020 Jan 9. IEEE Trans Cybern. 2020. PMID: 31940577
The actuator faults are fully considered in the setup. On the basis of stochastic analysis theory and fuzzy-model-based method, some criteria are established to guarantee the sigma -error mean-square stability for the considered systems. As a consequence, the …
The actuator faults are fully considered in the setup. On the basis of stochastic analysis theory and fuzzy-model-based met …
Response spectrum-based analysis of airborne radar random vibration and multi-point control improvement.
Liu J, Liu Z, Chen W, Lv J, Jiang Z, Pang J, Du L. Liu J, et al. Sci Rep. 2024 Mar 30;14(1):7565. doi: 10.1038/s41598-024-56783-y. Sci Rep. 2024. PMID: 38555359 Free PMC article.
As the vibrations caused by various factors during flight are random and non-linear, this paper innovates the analysis principle and damping control means for the random vibrations of airborne optoelectronic devices. The response spectrum analysis theory is used to …
As the vibrations caused by various factors during flight are random and non-linear, this paper innovates the analysis principle and damping …
Bicoherence analysis of quadriceps electromyogram during isometric knee extension.
Simeoni RJ, Mills PM. Simeoni RJ, et al. Australas Phys Eng Sci Med. 2003 Mar;26(1):12-7. doi: 10.1007/BF03178691. Australas Phys Eng Sci Med. 2003. PMID: 12854620 Clinical Trial.
Previous studies into bicoherence analysis of EMG data are not apparent in the literature for comparison. Since nonlinear processes are known, through mechanomyogram bicoherence analysis, to be significant within active muscle fibre twitch summation patterns, the finding d …
Previous studies into bicoherence analysis of EMG data are not apparent in the literature for comparison. Since nonlinear processes a …
3D Underwater Uncooperative Target Tracking for a Time-Varying Non-Gaussian Environment by Distributed Passive Underwater Buoys.
Hou X, Zhou J, Yang Y, Yang L, Qiao G. Hou X, et al. Entropy (Basel). 2021 Jul 15;23(7):902. doi: 10.3390/e23070902. Entropy (Basel). 2021. PMID: 34356443 Free PMC article.
Aiming to overcome the low observability drawback inherent in the passive target tracking problem, a distributed passive underwater buoys observing system is considered and the optimal topology of the distributed measurement system is designed based on the nonlinear system …
Aiming to overcome the low observability drawback inherent in the passive target tracking problem, a distributed passive underwater buoys ob …
Factor analysis of auto-associative neural networks with application in speaker verification.
Garimella S, Hermansky H. Garimella S, et al. IEEE Trans Neural Netw Learn Syst. 2013 Apr;24(4):522-8. doi: 10.1109/TNNLS.2012.2236652. IEEE Trans Neural Netw Learn Syst. 2013. PMID: 24808374
When the amount of speaker data is limited, this adaptation procedure may lead to overfitting as all the parameters of UBM-AANN are adapted. In this paper, we introduce and develop the factor analysis theory of AANNs to alleviate this problem. We hypothesize that on …
When the amount of speaker data is limited, this adaptation procedure may lead to overfitting as all the parameters of UBM-AANN are adapted. …
15 results