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Optimizing FFT for Embolic Signal Detection by Robert Muja is a document available to read on EtoBox.
What is Optimizing FFT for Embolic Signal Detection about?
This document analyzes the optimization of processing parameters for analyzing and detecting embolic signals using fast Fourier transforms. It investigates the effect of varying window type, window size, window overlap ratio, and other parameters on embolic signal detection when using FFTs for signal processing. The optimal parameters were found to be a Hamming or Hanning window with a size of 64 or 128 points, and a high overlap ratio of at least 65-80% to avoid missing embolic events.
- Author
- Robert Muja
- Language
- EN