Grouped B-spline windows for power spectral density estimation

Stanciu, Lucian; Stanciu, Cristian

doi:10.1109/isscs.2013.6651176

Cited by 4 publications

(1 citation statement)

References 6 publications

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“…There are many methods of spectral density calculation been proposed, namely as Robust Spectral Density Estimation (RSDE), Independent Component Analysis (ICA), Multitaper Power Spectral Density Estimation (MPSDE), Low-complexity Welch Power Spectral Density (LCWPSD), B-Spline Windows Power Spectral Density Estimation and etc. [1][2][3][4][5][6][7][8][9][10][11][12][13]. Among the method listed, LCWPSD is the most suitable for biosensor processing.…”

Section: Introductionmentioning

confidence: 99%

Performance analysis of low-complexity welch power spectral density for automatic frequency analyser

Jun¹,

Jambek²,

Hashim³

2019

Bulletin EEI

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The aim of this paper is to investigate the performance of the Low Complexity Welch Power Spectral Density Computation (PSDC). This algorithm is an improvement from Welch PSDC method to reduce the computational complexity of the method. The effect of the sampling rate and the input frequency toward to accuracy of frequency detection is being evaluated. From the experiment results, sampling rate nearest to the twice of the input frequency provides the highest accuracy which achieved 99%. The ability of the algorithm to perform complex signal also has been investigated.

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