Spectral inversion of second order Volterra models based on the blind identification of Wiener models
From MaRDI portal
Publication:634870
DOI10.1016/j.sigpro.2011.05.007zbMath1223.94009OpenAlexW2040598402MaRDI QIDQ634870
Publication date: 17 August 2011
Published in: Signal Processing (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.sigpro.2011.05.007
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Time series nonlinearity modeling: A Giannakis formula type approach
- Inversion of imaging mechanisms by regularization of inverse Volterra models
- The identification of nonlinear biological systems: Wiener and Hammerstein Cascade models
- A blind approach to the Hammerstein-Wiener model identification
- Extended stochastic gradient identification algorithms for Hammerstein-Wiener ARMAX systems
- Adaptive nonlinear system identification. The Volterra and Wiener model approaches.
- Blind maximum likelihood identification of Hammerstein systems
- On a Method of Calculation of Semi-Invariants
- On the non-linear energy transfer in a gravity-wave spectrum Part 1. General theory
- Computational Intelligence for the Collaborative Identification of Distributed Systems
- On reduced equations in the Hamiltonian theory of weakly nonlinear surface waves
- Circle criteria in recursive identification
- Hypothesis Testing for Nonlinearity Detection Based on an MA Model
- Blind identifiability of a quadratic stochastic system
- The effect of non-linearities on statistical distributions in the theory of sea waves
- An Introduction to Polyspectra
- Nonlinear system identification using autoregressive quadratic models.