The phrase "array to estimate" is not correct and does not convey a clear meaning in written English.
It may be intended to refer to a collection of data or methods used for estimation, but the wording is unclear.
Example: "We need to create an array to estimate the potential outcomes of the project."
Alternatives: "set of data for estimation" or "collection to assess".
The method itself consists in using the signals measured on a microphone array to estimate both the structural parameters and the global amplitude of this specific source.
A beamformer combines the samples measured by an array to estimate properties of the space-time signal, such as the direction of arrival for signals of interest [1].
In a second step, we use the resulting spatial correlation matrix of the underlying array to estimate the DOAs of the possibly correlated sources by spatial smoothing and MUSIC.
The second way presented to extend the EDBA method for 2D AOA estimation uses the EDBA method twice and separately at the two ULAs of the L-shaped antenna array to estimate the azimuth and elevation angles.
To estimate the precise position of each array, we collected two types of data through different measurement styles: a walk-around measurement around each array to determine each transponder position, and a point measurement at the center of the array to estimate the centroid of the array.
This algorithm used data from the receiver array to estimate the distance between the center of activity (COA) of each individual P. pectinata and the river mouth (river distance in river kilometers [rkm] = 0 km).
Moreover, no result has ever been reported on minority carrier lifetime in vertical SiNW arrays to estimate passivation effect.
Bioinformatic tools such as TAPS [ 11] use bi-allelic probe signals from SNP arrays to estimate absolute allele-specific copy numbers in tumour cells.
Willenbrock et al. used high-density micro arrays to estimate the core-genome of 32 E. coli and Shigella genomes, and estimated the core-genome to be around 1,563 genes [ 29].
The GC-RMA algorithm uses many parameters from the observed data in all arrays to estimate components of N gij and S gij, then it fits the model to calculate expression values [ 34].
To give accurate results, the VIPR model must be trained using data from positive control arrays to estimate the parameters of the 'on' and 'off' intensity distributions for each probe.
