Frequency and power estimation of sinusoidal signals, has captured the attention of researchers due to its important applications. This paper involves a frequency and power estimation method of unidentified number of source sinusoidal signals using Eigen technique. The eigenvector corresponding to the correlation matrix’s minimum eigenvalue yields the minimum power of the FIR filter’s output power. The corresponding roots are determined using the filter polynomial and root elimination technique is used to determine the pseudospectrum. Consequently, by deploying the pseudospectrum and filter polynomial, the real power spectrum is derived
The application of linear prediction to frequency estimation for sinusoidal signals in noise is inve...
In this paper a novel method for multiple one dimensional real valued sinusoidal signal frequency es...
Accurate estimation of power system fundamental frequency is a necessity to check the state of healt...
Frequency and power estimation of sinusoidal signals, has captured the attention of researchers due ...
Three sinusoidal decomposition methods are described. They are the total least squares principal eig...
The problem of extracting sinusoid signals from noisy observations made at equally spaced times is c...
[[abstract]]This paper aims to propose a simple way to detect the frequency of electrical signals ba...
YesWe develop a novel approach to estimate the n unknown constituent frequencies of a noiseless sign...
Estimating the fundamental frequency and harmonic parameters is basic for signal modeling in a power...
noAbstract: We develop a novel approach to estimate the n unknown constituent frequencies of a sinu...
prediction based method is proposed for real harmonic sinusoidal frequency estimation. The estimator...
The estimation of sinusoidal parameters from noisy data arises in many practical problems, such as t...
Abstract—An eigendecomposition-based algorithm for fre-quencies estimation of two sinusoids has been...
In damage detection processes, the accuracy of estimating the eigenfrequencies of structures is cruc...
Two new methods are presented for the estimation of the frequencies of closely spaced complex valued...
The application of linear prediction to frequency estimation for sinusoidal signals in noise is inve...
In this paper a novel method for multiple one dimensional real valued sinusoidal signal frequency es...
Accurate estimation of power system fundamental frequency is a necessity to check the state of healt...
Frequency and power estimation of sinusoidal signals, has captured the attention of researchers due ...
Three sinusoidal decomposition methods are described. They are the total least squares principal eig...
The problem of extracting sinusoid signals from noisy observations made at equally spaced times is c...
[[abstract]]This paper aims to propose a simple way to detect the frequency of electrical signals ba...
YesWe develop a novel approach to estimate the n unknown constituent frequencies of a noiseless sign...
Estimating the fundamental frequency and harmonic parameters is basic for signal modeling in a power...
noAbstract: We develop a novel approach to estimate the n unknown constituent frequencies of a sinu...
prediction based method is proposed for real harmonic sinusoidal frequency estimation. The estimator...
The estimation of sinusoidal parameters from noisy data arises in many practical problems, such as t...
Abstract—An eigendecomposition-based algorithm for fre-quencies estimation of two sinusoids has been...
In damage detection processes, the accuracy of estimating the eigenfrequencies of structures is cruc...
Two new methods are presented for the estimation of the frequencies of closely spaced complex valued...
The application of linear prediction to frequency estimation for sinusoidal signals in noise is inve...
In this paper a novel method for multiple one dimensional real valued sinusoidal signal frequency es...
Accurate estimation of power system fundamental frequency is a necessity to check the state of healt...