biomedical signal processing

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Questions

The following questions were asked by visitors named biomedical signal processing.

Which of the following techniques are suitable for online, real-time filtering? Synchronized averaging Derivative-based filter Adaptive filter Moving average filter

Which of the following equation defines Wiener filter in frequency domain (Sd and Sm represent the PSDs of desired signal and noise respectively) W(ω)=Sd(ω)Sd(ω)+Sm(ω) W(ω)=Sd(ω)+Sm(ω)Sm(ω) W(ω)=Sd(ω)−Sm(ω)Sm(ω) W(ω)=Sd(ω)Sd(ω)−Sm(ω)

In steepest descent algorithm, step size controls which of the following? All of these Slope of error curve Stability Rate of convergence

The range of step size in steepest descent algorithm is -∞<μ<∞ -0.5<μ<0.5 0<μ<1 -1<μ<1

In case of adaptive noise cancellation, the resulting error after convergence is Desired signal estimate None of these Zero Noise estimate

Autocorrelation matrix of input signal (noise-corrupted signal) x(n), Φxx is [Note: Φd and Φm are autocorrelation matrix of desired signal and noise, respectively] Φd∗Φm Φd+Φm Φd−Φm Φd/Φm

Answers

The following answers were posted by visitors named biomedical signal processing.