Pages that link to "Item:Q1275499"
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The following pages link to Optimal estimation of power spectral density by means of a time-varying autoregressive ap\-proach. (Q1275499):
Displaying 13 items.
- Adaptive time-frequency analysis based on autoregressive modeling (Q551592) (← links)
- Short-window spectral analysis using AMVAR and multitaper methods: a comparison (Q843252) (← links)
- Time-frequency analysis of multichannel signals using two-sided autoregressive modeling (Q941184) (← links)
- B-spline enhanced time-spectrum analysis (Q956210) (← links)
- New cumulant-based approaches for non-Gaussian time-varying AR models (Q1336824) (← links)
- Estimation of time varying peak of power spectrum based on non-Gaussian nonlinear state space modeling (Q1351378) (← links)
- Adaptive modified covariance algorithms for spectral analysis (Q1603771) (← links)
- Analysis of acoustic signatures from moving vehicles using time-varying autoregressive models (Q1961418) (← links)
- A modified version of the Pisarenko method to estimate the power spectral density of any asymptotically wide sense stationary vector process (Q2286040) (← links)
- Robust spectral factor approximation of discrete-time frequency domain power spectras (Q2573917) (← links)
- Multiple window time-varying spectrum estimation (Q2712149) (← links)
- Analysis of non‐stationary signals in power systems (Q3156129) (← links)
- Cross-/ auto-correlation of time-varying signals using block pulse functions and determination of power spectral densities (Q4282817) (← links)