The phrase "a data length" is correct and usable in written English.
It can be used when referring to the size or amount of data in a specific context, such as programming or data analysis.
Example: "The function requires a data length of at least 256 bytes to operate effectively."
Alternatives: "a length of data" or "data size".
Take voltage angles of buses 1, 3, 5, and 15 as system outputs at a data length of N =1,500).
We compare the computational complexities of Capon, APES, IAA, and multitaper methods with the proposed lattice ARMA p,p) method for a data length of N = 128 in Figures8,9, and10.
We used a data length of N = 128, and data was zeropadded to 32 times the data length in stationary signal simulations involving the proposed lattice method, multitaper, and the Periodogram methods.
As pointed out by Pillet and Virieux (2007), determining the gradient of the velocity signal cannot always be carried out accurately since a data length of 3 min is sometimes too short for a reliable estimation of the gradient, and the maximum pre-event time of 15 s for KiK-net acceleration data may be insufficient for baseline estimation.
The piccolo method is faster than Ahdesmäki's method for small datasets with a data length of less than 19.
Interestingly, however, while the variance of the mean and median steadily decreases with data length, the consensus estimate shows an increase in variance for a data length of 250.
In this paper, the powerline noise reduction with different data lengths were compared by numerical simulation; the results show that there is always an optimal data length, not a single cycle but several cycles that can achieve maximum powerline noise suppression.
A larger data length increases the coding gain in turbo decoding in general.
Nevertheless, the proposed algorithms are more computationally demanding, particularly for a larger data length.
We used a total data length of 512 s (256 data points in each channel) for the inversion.
According to the analysis results, a modeling data length of 70 is most appropriate for turbidity forecasting.
