From: Asymptotic equivalent analysis of the LMS algorithm under linearly filtered processes
Variable | Dimension | Meaning |
---|---|---|
d k | IR | Desired output of unknown system |
w | IRM×1 | Impulse response of unknown system |
w k | IRM×1 | Estimate of w |
u k | IRM×1 | Regression vector |
u k | IR1×1 | Elements of the regression vector |
v k | IR | Additive noise |
R uu | IRM×M | Autocorrelation matrix of u k |
Λ u | IRM×M | Diagonal matrix =Q R uu Q T |
K k | IRM×M | Covariance matrix of w−w k |
x k | IR | White generating process |
\(m_{\mathrm {x}}^{(2)}\) | IR | Second-order moment of x k |
\(m_{\mathrm {x}}^{(2,2)}\) | IR | Joint fourth-order moment of x k |
μ | IR | Step-size |
A | IRM×(M+P) | upper right Toeplitz matrix |
I | IRM×M | Identity matrix of dimension M |
I P | IRP×P | Identity matrix of dimension P |
1 | IRM×1 | Vector with ones as entries |