A Parameter Estimation Algorithm for Damped Real-value Sinusoid in Noise
نویسندگان
چکیده
Abstract To improve the parameter estimation performance of damped real-value sinusoid in noise, a novel algorithm with high accuracy and computational efficiency is proposed that combines characteristics good anti-interference, small computation frequency-domain methods, time-domain methods. First, Discrete Fourier Transform (DFT) two-point spectrum interpolation methods are used to noise immunity. Then, linear prediction property enhancement filter accuracy. In addition, verified by complexity analysis test experiments, practical application effectiveness demonstrated on Coriolis Mass Flowmeter (CMF) experimental platform. The results show effectively improves real-time better than existing excellent algorithms.
منابع مشابه
Parameter Estimation of the Exponentially Damped Sinusoid for Noisy Signals*
Abstract The damped sinusoid equation is a common model for many scientific processes involving damped periodic signals. Here we present two methods for estimating the damped sinusoid parameters for noisy signals. Both methods are based upon an exact, closed form solution to fit the parameters for signals without noise, and they estimate the parameters for the noisy signals by the statistical m...
متن کاملLpsvd Algorithm for Parameter Estimation of Damped Sinusoids
This article is focused on estimation of initial amplitude, frequency, initial phase and damping factor of sinusoids contained in signal of nuclear magnetic resonance (NMR). It describes algorithm called LPSVD, based on singular value decomposition signal matrix and linear prediction. In Practical results appendix observations are issued and possibility of noise suppression is outlined.
متن کاملSDPLL-Based Frequency Estimation of a Sinusoid in Colored Noise
The problem of frequency estimation of a single sinusoid observed in colored noise is addressed. Our estimator is based on the operation of the sinusoidal digital phase-locked loop (SDPLL) which carries the frequency information in its phase error after the noisy sinusoid has been acquired by the SDPLL. We show by computer simulations that this frequency estimator beats the Cramer-Rao bound (CR...
متن کاملA NEW APPROACH FOR PARAMETER ESTIMATION IN FUZZY LOGISTIC REGRESSION
Logistic regression analysis is used to model categorical dependent variable. It is usually used in social sciences and clinical research. Human thoughts and disease diagnosis in clinical research contain vagueness. This situation leads researchers to combine fuzzy set and statistical theories. Fuzzy logistic regression analysis is one of the outcomes of this combination and it is used in situa...
متن کاملA Robust Distributed Estimation Algorithm under Alpha-Stable Noise Condition
Robust adaptive estimation of unknown parameter has been an important issue in recent years for reliable operation in the distributed networks. The conventional adaptive estimation algorithms that rely on mean square error (MSE) criterion exhibit good performance in the presence of Gaussian noise, but their performance drastically decreases under impulsive noise. In this paper, we propose a rob...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Measurement Science Review
سال: 2023
ISSN: ['1335-8871']
DOI: https://doi.org/10.2478/msr-2023-0013