Title :
Stabilization and implementation of the fast transversal filter
Author :
Kuo, Sen M. ; Chen, Liang
Author_Institution :
Dept. of Electr. Eng., Northern Illinois Univ., DeKalb, IL, USA
Abstract :
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
Keywords :
adaptive filters; digital filters; DSP32; DSP56000; TMS320C30 digital signal processors; fast transversal filter; implementation; input autocorrelation; least squares algorithm; rescue technique; second-order autoregressive process; stabilisation; Autoregressive processes; Digital signal processing; Digital signal processors; Least squares methods; Performance evaluation; Resonance light scattering; Signal processing algorithms; Stability; Testing; Transversal filters;
Conference_Titel :
Circuits and Systems, 1989., Proceedings of the 32nd Midwest Symposium on
Conference_Location :
Champaign, IL
DOI :
10.1109/MWSCAS.1989.102056
