Analysis of stochastic gradient identification of Wiener-Hammerstein systems for nonlinearities with hermite polynomial expansions

INIS

• filters 100%
• nonlinear problems 100%
• stochastic processes 100%
• expansion 100%
• hermite polynomials 100%
• approximations 20%
• size 20%
• monte carlo method 20%
• solutions 20%
• algorithms 20%
• simulation 20%
• learning 20%
• yields 20%
• equations 20%
• output 20%
• iterative methods 20%

Engineering

• Hermite Polynomial 100%
• Polynomial Expansion 100%
• Nonlinearity 100%
• Linear Filter 100%
• Good Agreement 33%
• Search Algorithm 33%
• System Parameter 33%
• Gaussian Input 33%
• Filter Coefficient 33%
• Size Approximation 33%
• Step Size α 33%
• Adaptive Filter 33%
• Nonlinear Equation 33%

Mathematics

• Stochastics 100%
• Hermite Polynomial 100%
• Nonlinearity 100%
• Gradient Search 66%
• Step Size 33%
• Nonlinear Equation 33%
• Unknown Coefficient 33%
• Gaussian Distribution 33%
• System Parameter 33%
• Good Agreement 33%
• Search Algorithm 33%
• Iterative Solution 33%
• Monte Carlo Method 33%