Title :
The potential of QR adaptive filter variables for signal analysis
Author :
Bellanger, Maurice
Author_Institution :
TRT, Plessis Robinson, France
Abstract :
The signal parameter vector that is computed and updated in the fast QR adaptive filter can be related to prediction and signal model coefficients, and several results concerning these relations are presented. In particular, these results provide information about the signal model, whether it is a moving-average or a predictable signal, as well as about the model order. The results can be useful in real-time signal analysis and can make the QR approach more attractive in adaptive filtering applications
Keywords :
adaptive filters; filtering and prediction theory; spectral analysis; QR adaptive filter variables; moving-average; signal analysis; signal parameter vector; Adaptive filters; Autocorrelation; Lattices; Least squares methods; Matrix decomposition; Neural networks; Predictive models; Signal analysis; Tin; Vectors;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1989. ICASSP-89., 1989 International Conference on
Conference_Location :
Glasgow
DOI :
10.1109/ICASSP.1989.266892
