Abstract: An orthogonal-gradient measurement matrix construction algorithm is proposed for reducing the maximum and average mutual-coherence of sensing matrix. It shrinks Gram matrix based on ...

Matrix valued orthogonal polynomials are an important area of study in mathematics, particularly in the context of differential equations and functional analysis. These polynomials extend the ...

The orthogonal test is a mathematical method for conducting multifactorial tests based ... The SEM test results are presented in Figure 6. The matrix fracture toughness significantly increases with ...

Abstract: Space-time adaptive processing (STAP) algorithm plays a crucial role in clutter suppression for space-based radar (SBR) systems, while its performance is impacted directly by the estimation ...

We all know that calculus courses such as 18.01 and 18.02 are univariate and vector calculus, respectively. Modern applications such as machine learning and large-scale optimization require the next ...

They also work as functions that operate on lists of points in various forms: paths, VNFS and bezier patches. Lastly, the function form of the shortcuts can return a matrix representing the operation ...

Machining composites is a dusty, arduous and abrasive process that is hard on cutting tools, requiring the right combination ...