scholarly journals Comparative analysis of power spectrum estimation methods

2010 ◽  
Vol 51 ◽  
Author(s):  
Gintarė Petreikytė ◽  
Kazys Kazlauskas
Keyword(s):  
Comparative Analysis ◽  
Power Spectrum ◽  
Signal To Noise Ratio ◽  
Frequency Resolution ◽  
Estimation Methods ◽  
Spectrum Estimation ◽  
Parametric Methods ◽  
Signal To Noise ◽  
Power Spectrum Estimation ◽  
The Subject

The subject of this paper is the comparative analysis of the eleven most important nonparametric, parametric and subspace power spectrum estimation methods. Theoretically and experimentally we analyse how the frequency resolution of the spectrum estimation methods depends on the signal length, signal-to-noise ratio (SNR) and the order parametric methods.

Methods for Characterizing Flicker and its Applications

2005 ◽  
Vol 4 (2) ◽  
Author(s):  
Alexandre B Nassif ◽  
Thavatchai Tayjasanant ◽  
Dr. Wilsun Xu
Keyword(s):  
Signal Processing ◽  
Wavelet Transform ◽  
Superior Performance ◽  
Frequency Resolution ◽  
Estimation Methods ◽  
Spectrum Estimation ◽  
Power Spectrum Estimation ◽  
Time Frequency ◽  
Power Quality Disturbance ◽  
Common Signal

Flicker is an important power quality disturbance and has received an increasing concern from power system researchers. Interharmonics are the non-integral frequencies other than harmonic frequencies. Nowadays, research has shown that interharmonics and flicker seem to be closely related. To clarify this relationship, flicker is characterized in the frequency domain. The traditional Fourier-based methods have shown some drawbacks in representing non-stationary, non-periodic power signals and therefore other methods should be investigated for accomplishing this task. This paper introduces the most common signal processing approaches to assess the problem, power spectrum estimation methods and linear transforms. The wavelet transform has shown superior performance comparing to other methods and circumventing the problem time-frequency resolution.

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