Title :
A new method for frequency detection by linear prediction using total least squares
Author :
Lemos, R.P. ; Lopes, Amauri
Author_Institution :
State Univ. of Campinas, Brazil
Abstract :
This work is concerned with the use of the total least squares criterion in forward-backward linear prediction optimization, yielding a new frequency estimation method, named TLS-FBLP. A detailed comparison of our method to Tufts and Kumaresan´s (1982) modified FBLP, revealed that TLS-FBLP is better than modified FBLP at low prediction orders, as well as they are similar for high orders
Keywords :
frequency estimation; least squares approximations; optimisation; prediction theory; signal detection; TLS-FBLP; forward-backward linear prediction; frequency detection; frequency estimation method; low prediction orders; modified FBLP; optimization; total least squares; Degradation; Fluctuations; Frequency estimation; Least squares approximation; Least squares methods; Optimization methods; Signal processing; Signal to noise ratio; Vectors; White noise;
Conference_Titel :
Signals, Systems, and Electronics, 1995. ISSSE '95, Proceedings., 1995 URSI International Symposium on
Conference_Location :
San Francisco
Print_ISBN :
0-7803-2516-8
DOI :
10.1109/ISSSE.1995.497950
