Spline windows for power spectral density estimation
Lucian Stanciu, Cristian Stanciu
Abstract
Lucian Stanciu, Cristian Stanciu
Abstract
The power spectral density of a signal can be estimated most accurately by using a window with a narrow bandwidth and large sidelobe attenuation. Conventional windows generally control these characteristics by only one parameter, so there is a trade-off problem. To reduce the effect of spectral leakage, a window function can be used whose amplitude tapers smoothly and gradually toward zero at both ends. To overcome this problem, we propose using grouped spline windows with two control parameters for power spectral density estimation and analyze its characteristics.
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The power spectral density of a signal can be estimated most accurately by using a window with a narrow bandwidth and large sidelobe attenuation. Conventional windows generally control these characteristics by only one parameter, so there is a trade-off problem. To reduce the effect of spectral leakage, a window function can be used whose amplitude tapers smoothly and gradually toward zero at both ends. To overcome this problem, we propose using grouped spline windows with two control parameters for power spectral density estimation and analyze its characteristics.
Key concepts: Spectral leakage, Spectral density, Spline (mechanical), Window function, Attenuation, Spectral density estimation, Bandwidth (computing), Amplitude