Distortion analysis of nonlinear systems with memory using maximum-length sequences

IEE Proceedings - Circuits Devices and Systems ◽

10.1049/ip-cds:19952025 ◽

1995 ◽

Vol 142 (5) ◽

pp. 345 ◽

Author(s):

M.C. Greest ◽

M.O. Hawksford

Keyword(s):

Nonlinear Systems ◽

Maximum Length ◽

Distortion Analysis ◽

Systems With Memory ◽

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Memory Structures for Modelling Nonlinear Systems With Memory Effects

Strad Research ◽

10.37896/sr7.5/007 ◽

2020 ◽

Vol 7 (5) ◽

Keyword(s):

Nonlinear Systems ◽

Memory Effects ◽

Systems With Memory ◽

With Memory ◽

Memory Structures

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Multi-sine Response of Third Order Nonlinear Systems with Memory Based on Two-tone Measurements

2006 European Microwave Conference ◽

10.1109/eumc.2006.281288 ◽

2006 ◽

Author(s):

Joao Martins ◽

Nuno Carvalho ◽

Jose Pedro

Keyword(s):

Nonlinear Systems ◽

Third Order ◽

Systems With Memory ◽

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Novel procedure for characterizing nonlinear systems with memory and combating the curse of dimensionality

10.1063/1.4934389 ◽

2015 ◽

Author(s):

A. H. Nuttall ◽

R. A. Katz ◽

D. R. Hughes ◽

R. M. Koch

Keyword(s):

Nonlinear Systems ◽

Curse Of Dimensionality ◽

Systems With Memory ◽

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Statistical analysis of neural network modeling and identification of nonlinear systems with memory

Proceedings of the Sixth International Symposium on Signal Processing and its Applications (Cat.No.01EX467) ◽

10.1109/isspa.2001.949841 ◽

2002 ◽

Author(s):

M. Ibnkahla

Keyword(s):

Neural Network ◽

Statistical Analysis ◽

Nonlinear Systems ◽

Network Modeling ◽

Neural Network Modeling ◽

Systems With Memory ◽

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Characterizing nonlinear systems with memory while combating and reducing the curse of dimensionality using new volterra expansion technique

The Journal of the Acoustical Society of America ◽

10.1121/1.4969945 ◽

2016 ◽

Vol 140 (4) ◽

pp. 3167-3167

Author(s):

Albert H. Nuttall ◽

Derke Hughes ◽

Richard A. Katz ◽

Robert M. Koch

Keyword(s):

Nonlinear Systems ◽

Curse Of Dimensionality ◽

Expansion Technique ◽

Systems With Memory ◽

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Natural gradient learning neural networks for modeling and identification of nonlinear systems with memory

IEEE International Conference on Acoustics Speech and Signal Processing ◽

10.1109/icassp.2002.1005926 ◽

2002 ◽

Author(s):

Ibnkahla ◽

Pochon

Keyword(s):

Neural Networks ◽

Nonlinear Systems ◽

Natural Gradient ◽

Systems With Memory ◽

Gradient Learning ◽

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ANALYSIS AND OPTIMIZATION OF NONLINEAR SYSTEMS WITH MEMORY BASED ON VOLTERRA INTEGRO-FUNCTIONAL SERIES AND MONTE-CARLO METHODS

University News. North-Caucasian Region. Technical Sciences Series ◽

10.17213/1560-3644-2021-3-30-34 ◽

2021 ◽

pp. 30-34

Keyword(s):

Monte Carlo ◽

Nonlinear Systems ◽

Monte Carlo Methods ◽

Functional Series ◽

Systems With Memory ◽

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Suppression limit cycles in 2 × 2 nonlinear systems with memory type nonlinearities

International Journal of Dynamics and Control ◽

10.1007/s40435-021-00860-x ◽

2021 ◽

Author(s):

K. C. Patra ◽

Namrata Kar

Keyword(s):

Nonlinear Systems ◽

Limit Cycles ◽

Memory Type ◽

Systems With Memory ◽

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The output properties of Volterra systems (nonlinear systems with memory) driven by harmonic and Gaussian inputs

Proceedings of the IEEE ◽

10.1109/proc.1971.8525 ◽

1971 ◽

Vol 59 (12) ◽

pp. 1688-1707 ◽

Author(s):

E. Bedrosian ◽

S.O. Rice

Keyword(s):

Nonlinear Systems ◽

Volterra Systems ◽

Systems With Memory ◽

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Adaptive filtering of nonlinear systems with memory using quantized mean field annealing

[Proceedings] ICASSP 91: 1991 International Conference on Acoustics, Speech, and Signal Processing ◽

10.1109/icassp.1991.150811 ◽

1991 ◽

Author(s):

R.A. Nobakht ◽

S.H. Ardalan ◽

D.E. Van den Bout

Keyword(s):

Nonlinear Systems ◽

Adaptive Filtering ◽

Field Annealing ◽

Systems With Memory ◽

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