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A fundamental problem in Doppler Ultrasound blood flow measurements is the computation of the signal instantaneous frequency, which is generated when the signal is acquired.
On the other hand, as shown previously, the use of a calibrated microscopy detector may allow computation of the signal and noise characteristics directly from the image acquisition parameters.
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For the computation of the signal-to-noise ratio (SNR), we estimated the signal power by determining the highest amplitude in the ERPs between -800 ms and +1000 ms. The noise power was estimated by the standard deviation in the baseline time interval, i.e. between −1000 and −800 ms. The SNR averaged across all participants was 11.1 (SD = 5.2).
The complexity of our scheme per distance estimation sample for K nodes is comprised of K signal sampling, storing, and communication events (nodes transmitting the recorded signals to the central entity), and K K -1)/2 computations of the signal cross correlations and peak searches.
Hence, for this block of OFDM symbols the calculation of the precoding matrices has to be performed only once, whereas the computation of the precoded signal, the FFT, and the selection metric have to be accomplished for each of the NB OFDM symbols.
The compensation mechanism uses a robust fault detector, based on parity space, to estimate the fault; this information allows the computation of the compensation signal by using the inverse dynamics of a damper model to reduce the fault effect into the vertical dynamics of the suspension.
In Section 3.3.1, the computation of the reference signals is described.
Only probesets classified as mapping uniquely to the genome are listed, to avoid including signal from potentially cross-hybridizing probes in the computation of the gene-level signal estimate.
The re-computation of the control signal is triggered by the deviation of the predicted system state and the real system state.
The notation m is omitted for simplicity, owing to the computation of the power of signals in (24).
Affine Arithmetic (AA) [31] is an extension of Interval Arithmetic (IA) [29] aimed at the fast and accurate computation of the ranges of signals in a particular mathematical description of an algorithm.
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