Sentence examples for sample the receiver from inspiring English sources

For the three month sample, the receiver operating characteristic area under the curve (AUC) for those admitted to hospital was 0.893 955% confidence interval 0.843 to 0.943).

This approach is based on Fourier transform inversion formula to estimate the probability density function (pdf) of the observed soft sample at the receiver.

A complete Fourier-analysis computational model flowchart, in three components, is shown in Fig. 1 : (I) the transmission irradiance at the sample, (II) the receiver function at the detector, and (III) the aperture configuration at the pupil plane.

The estimated signal power (average of PSD over all frequency bins) is then defined as (8). Figure 1 shows an example of a received sequence of 4096 samples from a real CP-OFDM data measurement (with 26 tones going through an unknown channel and sampled at the receiver with a known sampling rate) after carrier estimation, downconversion, and lowpass filtering.

A novel diffusion cell has been constructed which allows study of membrane diffusion processes without the need for sampling of the receiver compartment, that is highly sensitive and, being based around a diode array spectrophotometer also allows for continuous, real-time recording of multi-species concentration changes in the receiving compartment.

By the front band-pass filter and sampler in the receiver, n′(t) is the Gaussian noise with bandwidth B=f c.

Perfect synchronization is assumed, such that one of the M samples at the receiver includes the peak of the system impulse response.

The capacity with sampling at the receiver is also provided to exemplify the performance loss due to a typical post-processing at the receiver.

If the number of substituted samples on the receiver side is R=N/4, then all the input pairs of the N/2-pt, FFT-B with distance N/4, are equal.

The data sets GW16-GW26 are CP-OFDM signals from 16 to 26 tones going through unknown channels and sampled at the receiver.

We have shown that the problem of error probability estimation is equivalent to estimate the conditional probability density function (pdf) of the observed soft samples at the receiver output.