论文信息 - Stabilization and implementation of the fast transversal filter

Stabilization and implementation of the fast transversal filter

A new rescue technique to stabilize the fast transversal filter (FTF) using the most efficient recursive least squares (RLS) algorithm and to implement the stabilized FTF on the commercially available DSP56000, DSP32, and TMS320C30 digital signal processors (DSPs) is presented. Long-term stability testing is performed by configuring FTF to predict second-order autoregressive process with different eigenvalue spreads of the input autocorrelation matrix. Experimental results show that the FTF works well with this rescue technique.<<ETX>>

S. M. Kuo | L. Chen

[1] D. Lin. On digital implementation of the fast kalman algorithms , 1984 .

[2] S. Alexander,et al. Fast adaptive filters: A geometrical approach , 1986, IEEE ASSP Magazine.

[3] T. Kailath,et al. Fast, recursive-least-squares transversal filters for adaptive filtering , 1984 .

[4] Dirk T. M. Slock,et al. Numerically stable fast recursive least-squares transversal filters , 1988, ICASSP-88., International Conference on Acoustics, Speech, and Signal Processing.

[5] S. H. Ardalan,et al. Fixed-point roundoff error analysis of the exponentially windowed RLS algorithm for time-varying systems , 1987, IEEE Trans. Acoust. Speech Signal Process..

[6] Lennart Ljung,et al. Error propagation properties of recursive least-squares adaptation algorithms , 1985, Autom..

[7] John M. Cioffi,et al. Limited-precision effects in adaptive filtering , 1987 .

[8] S. Haykin,et al. Adaptive Filter Theory , 1986 .

[9] J.-L. Botto. Stabilization of fast recursive least-squares transversal filters for adaptive filtering , 1987, ICASSP '87. IEEE International Conference on Acoustics, Speech, and Signal Processing.