Title :
Parameter estimation of exponentially damped noisy signal based on the LP method
Author :
Yongmei, L. ; Sugahara, Kazunori ; Osaki, Tomoyuki ; Konishi, Ryosuke
Author_Institution :
Tottori Univ., Japan
Abstract :
In this paper, we propose a parameter estimation method to improve the performance of KT method when the noise increases. We calculate zeros with different data record length based on the combination of forward-prediction and backward-prediction, and find the signal zero groups to estimate the parameters of the signal. Simulation results are shown to confirm the effectiveness of the proposed method.
Keywords :
frequency estimation; linear programming; parameter estimation; signal processing; backward-prediction signals; exponentially damped noisy signal; forward-prediction signals; linear programming method; parameter estimation; signal zero groups; Acoustic signal processing; Acoustical engineering; Chromium; Estimation error; Frequency estimation; Maximum likelihood estimation; Parameter estimation; Samarium; Signal processing; Singular value decomposition;
Conference_Titel :
SICE 2002. Proceedings of the 41st SICE Annual Conference
Print_ISBN :
0-7803-7631-5
DOI :
10.1109/SICE.2002.1196624