In data-intensive signal processing applications, the main data structures from the behavioral specification are multi-dimensional arrays.
Multi-dimensional arrays allow for a convenient way to apply chemically sound constraints, such as closure, in the third dimension.
The crystalline structures for all compounds show multi-dimensional arrays or networks structures created by two types of hydrogen-bonding interactions.
This paper describes an improved three-way alternating least-squares multivariate curve resolution algorithm that makes use of the recently introduced multi-dimensional arrays of MATLAB®.
These type of fuzzy models will be denoted as tensor-product (TP) fuzzy systems, because its expressions can be understood as operations on multi-dimensional arrays.
ROMS operates on a lot of multi-dimensional arrays, which makes it an ideal candidate to gain from architectures with wide and powerful Vector Processing Units (VPU) such as Intel Xeon Phi.
The algorithm proposed is isotropic concerning the side-lengths of multi-dimensional arrays and this isotropic property yields algorithmic correctness and easy verification for the multi-dimensional time-optimum FSSP algorithms designed.
The algorithm is a natural expansion of the well-known one-dimensional (1D) FSSP algorithms proposed by Balzer (1967), Gerken (1987), and Waksman (1966) and it can be easily expanded to three-dimensional (3D) arrays, even to multi-dimensional arrays.
Images are represented in EBImage as multi-dimensional arrays containing pixel intensity values.
Image representation is dissociated from rendering, and multi-dimensional arrays can be displayed as animated sequences of images in greyscale or colour mode.
Since PAs have the ability to target virtually any DNA sequence, we envisage PA programming becoming a valuable tool in the construction of sophisticated multi-dimensional arrays, motors, and circuits where nanometer-level precision is required.
