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• W3018445606 abstract "Power Spectral Density (PSD) of quasi-stationary processes can be efficiently estimated using the short time Fourier series (STFT). In this paper, an algorithm has been proposed that computes the PSD of quasi-stationary process efficiently using offline autoregressive model order estimation algorithm, recursive parameter estimation technique and modified sliding window discrete Fourier Transform algorithm. The main difference in this algorithm and STFT is that the sliding window (SW) and window for spectral estimation (WSA) are separately defined. WSA is updated and its PSD is computed only when change in statistics is detected in the SW. The computational complexity of the proposed algorithm is found to be lesser than that for standard STFT technique. Keywords— Power Spectral Density (PSD), quasi-stationary time series, short time Fourier Transform, Sliding window DFT." @default.
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• W3018445606 date "2007-02-23" @default.
• W3018445606 modified "2023-10-16" @default.
• W3018445606 title "Efficient Spectral Analysis of Quasi Stationary Time Series" @default.
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