Abstract
The discrete short-time Fourier transform implemented as the STUSE (short-time unbiased spectrum estimation) algorithm, which includes both Fourier-domain coherent smoothing and power-domain incoherent smoothing, is examined in terms of its resolution capability in power spectrum estimation. An analysis of the STUSE algorithm in terms of the effective spectral window allows insight into how the influence of the finite window length on a spectral estimate can be lessened by linearly combining biased estimates. Comparison is made to the weighted overlapped segment averaging algorithm, which has been previously characterized as a special case of the STUSE algorithm. >
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