A NEW METHOD FOR FREQUENCY DETECTION BY LINEAR PREDICTION USING TOTAL LEAST SQUARES

摘要

This work is concerned with the use of 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 Modified FBLP, revealed that TLS-FBLP is better than Modified FBLP at low prediction orders, as well as they are similar for high orders.