Tomasz Klaput

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The problem of estimation of a frequency of a complex sinusoidal signal buried in white measurement noise is considered. It is shown that, for a fixed model order, the variance of the autoregressive frequency estimates can be significantly reduced if the signal is decimated prior to modeling. To obtain comparable results by means of processing the signal in(More)
The problem of identification/tracking of rapidly fading communication channels is considered. When the channel coefficients vary rapidly with time the most frequently used weighted least squares (WLS) and least mean squares (LMS) algorithms are not capable of tracking the changes satisfactorily. To obtain good estimation results one has to use more(More)
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