This article proposes a novel coupling-informed data-driven algorithm tailored for the concurrent estimation of frequency and angle within a uniform linear array (ULA), while addressing the ...

A Levinson-Durbin type algorithm for solving Toeplitz-plus-Hankel (T+H) linear systems of equations is used to induce a Schur-type algorithm for such systems. A Schur-type algorithm is defined as one ...

Visual simultaneous localization and mapping (VSLAM) technology has been used in many intelligent applications such autonomous car, unmanned aerial vehicle (UAV) and augmented reality (AR) for ...

A simple procedure for model reduction based upon a Schur decomposition of a given system is presented. The obtained partitioned system allows the combination o ...

Orest Schur faced first-degree murder charges but the jury found him guilty of the lesser charge of second-degree murder for 2023 shooting that killed Xavier Kirk.

Tensor ring (TR) decomposition demonstrates superior performance in handling high-order tensors. However, traditional TR-based decomposition algorithms face limitations in real-world applications due ...

It is significant for the machinery fault diagnosis to extract the fault information from the multicomponent vibration signal. Feature mode decomposition (FMD), which can accurately separate the fault ...

Dual-energy computed tomography (DECT) offers quantitative insights and facilitates material decomposition, aiding in precise diagnosis and treatment planning. However, existing methods for material ...

Tensor decomposition is critical for compressing data and extracting key features in novel high-dimensional signal processing systems. However, due to the enormous amount of data and the highly ...

Material decomposition in X-ray imaging uses the energy-dependence of attenuation to digitally decompose an object into specific constituent materials, generally at the cost of enhanced image noise.

Workload prediction is one of the most basic requirements in developing cost and energy-efficient Cloud Data Centers (CDCs). Most traditional approaches have suffered from noise and failed to capture ...

Real-world multiobjective optimization problems (MOPs) usually have conflicting and differently scaled objectives. To deal with such problems, objective space normalization is widely used in the ...