Subspace-based frequency estimation in the presence of moving-average noise using decimation
Signal Processing - Special issue on acoustic echo and noise control
Subspace-based frequency estimation of sinusoidal signals in alpha-stable noise
Signal Processing - Signal processing with heavy-tailed models
IEEE Transactions on Signal Processing
The most efficient implementation of the IQML algorithm
IEEE Transactions on Signal Processing
Bounds for estimation of complex exponentials in unknown colorednoise
IEEE Transactions on Signal Processing
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This paper presents a preprocessing technique based on exponential windowing (EW) for parameter estimation of superimposed exponentially damped sinusoids. It is shown that the EW technique significantly improves the robustness to noise over two other commonly used preprocessing techniques: subspace decomposition and higher order statistics. An ad hoc but efficient approach for the EW parameter selection is provided and shown to provide close to CRB performance.