Sentence examples for the data lengths from inspiring English sources

The bicepstrum-based techniques provide better results with data lengths equal to or more than 64 ms. The conventional cepstrum-based technique outperforms the suggested techniques only when the data lengths are less than 64 ms and the integration time is more than 128 ms. However, the difference between the techniques under comparison is not very significant.

The cepstrum-based technique (C) outperforms other techniques when the data length is less than 64 ms. The bispectrum-based techniques outperform the cepstrum-based technique when the data length is higher than 64 ms, by 2 4%. Figure 11 Probability of correct classification as a function of the processing data length for the SVM classifier.

The data length is 25,000.

K is the data length.

where is the data length.

For all techniques and all available values of data length, the processing time is smaller than the data length.

The degree of uncertainty increases if the data length is short.

The data length is 10e4 and the Fs = 10e4 MHz, α=1.8.

where κ = 0,1…N – 1, N is the data length, n is the number of oscillation modes.

Fortunately, real-time implementation is possible, because the processing time is smaller than the data length.

The data length has been derived from encoding of errors [155].