Sentence examples for matrix text from inspiring English sources
Note that S π,t+1 is a matrix, (text {MMSE}_{text {ext}}^{S}) is calculated by solving the following equation: I_{A} text{MMSE}_{text{ext}}^{S}mathbf{I}_{K})=I_{A}(mathbf{S}_{pi,t+1}) (20) .
Although the CompExtractor processing method is an Agilent GC MS-specific application and the tarGC MS-specificmust be selected first, it capplicationthe tandetheompounds more precisely in targetw data file with batcompoundsnd simustaneously assembee the matrix text file.
Because ({boldsymbol W}_{N}^{l}) and ({boldsymbol W}_{N}^{l'}) are the lth and the l ′th columns of the FFT matrix, respectively, then due to the property of the FFT matrix, (text {range}left ({boldsymbol W}_{N}^{l}right) cap text {range}left ({boldsymbol W}_{N}^{l'}right) = {0}phantom {dot {i}!}), 1≤l,l ′≤L, l≠l ′.
To this end, each sensor can design and apply (by post-multiplying the Toeplitz matrix (text {Toep}left ({ mathcal {R}^{epsilon }(k) }_{k}right)) with) the pre-whitening filter F given by mathbf{F} = mathbf{C}_{epsilon}^{frac{dagger}{2}} (32).
The co-occurrence matrix contains text instances with the corresponding image instances that are found in that particular text document.
Words found in WorldNet database forms part of the input for building TDF matrix using text.
Constant variance-covariance matrix condition (text {Var}(mathbf X |mathbf P _{mathcal {S}} mathbf X )) is a non-random matrix.
It also exports the molecular correlation values as a matrix in text format.
SysNet is able to export all of its graphic presentations as images and exports molecular correlation information as a matrix in text format.
The aim of our method is to identify a diagonal positive semi-definite matrix (supplementary text, Supplementary Material online) parameterizing Mahalanobis distance metric such that it maximizes the Spearman's rank correlation coefficient between the resulting distances and the phenetic distances within the reference taxonomy.
Evidence for this comes from a study by Suthers and Hundhausen (2003) in which 30 dyads of university students used a graph, matrix, or text format to represent data, hypotheses, and evidential relations while exploring the causes of two science phenomena.
