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This paper develops a statistically efficient gridless two-dimensional (2D) direction-of-arrival (DOA) estimation method for sparse planar arrays under the coarray signal model. Our approach is based on the 2-level Toeplitz structure of the ...

This paper presents a 3rd-order discrete-time delta-sigma modulator (DT DSM) with ring-amplifier-based integrators. To fulfill the performance requirement of the switched-capacitor (SC) integrator for the DSM with low power consumption, a dynamic ...

The exceptionally high bandwidth requirement for delivering high-quality live 360<inline-formula><tex-math notation="LaTeX">$^\circ$</tex-math></inline-formula> video poses a significant challenge to current network capacity. Mitigating such bandwidth ...

Edge caching is a proven method to improve the quality of tile-based 360 video streaming services and ensure the user’s viewing experience. However, traditional caching solutions rarely explore 360 video content and users’ behavioral habits, and most ...

Neural network capability in symbolic computation has emerged in much recent work. However, symbolic computation is always treated as an end-to-end blackbox prediction task, where human-like symbolic deductive logic is missing. In this paper, we argue ...

The core of compressed sensing (CS) is to recover a set of sparse signals from incomplete measurements. In this paper, to solve the coherent direction-of-arrival (DOA) estimation problem, it is formulated as a joint-sparse recovery ...

Mathematical formula recognition aims to automatically convert formula images into their structured description formats. Recently, some encoder-decoder models have been presented for this task, while they seldom explicitly consider spatial ...

Encoder-decoder models have made great progress on handwritten mathematical expression recognition recently. However, it is still a challenge for existing methods to assign attention to image features accurately. Moreover, those encoder-decoder ...

Face detection is one of the important tasks of object detection. Typically detection is the first stage of pattern recognition and identity authentication. In recent years, deep learning-based algorithms in object detection have grown rapidly. ...

Due to the point cloud of oral scan denture has a large amount of data and redundant points. A point cloud simplification algorithm based on feature preserving is proposed to solve the problem that the feature preserving is incomplete when ...

Access control policies in distributed systems, particularly implemented in the XACML standard language, are increasingly complex. Faults may exist in complex policies for various reasons such as misunderstanding of the access control requirements, ...

In order to improve the processing speed of highly complex video coding that involves high data rate and large amount of computation, a parallel video coding system optimization (PVCSO) method is proposed in this paper. By using PC cluster and general ...