Digital Signal Processing

Elliptic positioning (EP) has recently emerged as a prevailing subject within localization research, holding significant relevance for a variety of multistatic systems including distributed multiple-input multiple-output radar, sonar, and ...

Image denoising and image quality enhancement are major issues in image processing. Additive and multiplicative noise removal is one of the main image enhancement approaches. In this paper, we propose a novel 2D Merged Complex Generalized ...

• MC-GARCH-M model: applicable to all 2D complex stochastic processes.
• MC-GARCH-M modeling: Captures non-Gaussian statistics and dependencies between the real and imaginary parts.
• Statistical analysis of 2D DOST coefficients: Reveals ...

Multiple-input multiple-output (MIMO) systems employing multicarrier modulation (MCM), including flexible MCM that unifies several MCM schemes, have been well studied recently also in their tensor-based formulation. The latter naturally allows ...

Underwater acoustic target recognition (UATR) systems are crucial to both military and civilian activities. However, the complex ship working conditions will largely affect the performance of recognition systems, especially in the case of working ...

Due to the imperfection of experimental measurements, the measured spectrum signals are inevitably corrupted by random error (noise). It is very useful in applications to remove the noise in the measured data while preserving some significant ...

• Present a robust peak-aware weight based on local variance and hyperbolic tangent with parameter.
• Propose a robust peak-aware guided filter with its self-iteration scheme for signal smoothing.
• Proposed iterative filtering is very ...

Pavement defects detection has made significant progress with the development of convolutional neural networks. Due to the topological complexity of pavement defects regions, most existing detection methods are limited to a limited number of ...

• Weak categories of pavement defects detection has significantly improved compared to other mainstream models.
• Based on feature fusion at different levels, effectively identify defect areas affected by complex environmental factors.

The extremely large-scale array is a key feature of future wireless communication systems, and the reconfigurable intelligent surface (RIS) gradually develops toward extremely large-scale RIS (XL-RIS) to enhance the communication system ...

Hyperspectral imaging has a critical role in observing the Earth's surface, providing images with rich spectral information. As a result, it has become an essential tool for monitoring and addressing environmental issues such as pollution, water ...

• Enhances mucilage detection performance with a novel multi-scale superpixel based classifier.
• Outperforms competitors in scenarios with limited training samples.
• Provides insights through cross-dataset evaluation experiments from ...

• A multivariate spectral feature detector is built to identify the spectral information.
• The fault-related modes are automatically separated by multivariate mode extraction.
• Self-multivariate spectral decomposition can avoid ...

In practical diagnostic scenarios, multivariate vibration data (MVD) actually contain more comprehensive fault information. Variational mode extraction (VME) has recently become a promising tool for extracting a specific mode from vibration data. ...

Gait recognition based on multiple wearable sensors has received widespread attention in recent years. Collecting data from various types of multimodal sensors allows for a more comprehensive capture of gait information. This effectively enhances ...

• A novel deep learning method is proposed to address the issue of defective data arising from the use of multiple sensors.
• To address data redundancy and anomaly in defective data, CMSA and FCLCA modules are proposed respectively.
• ...

This paper outlines a novel approach to the development of adaptive filtering algorithms, which minimizes susceptibility to the effects of non-Gaussian measurement noise. Using the generalized Gaussian density (GGD) function as the kernel ...

Forest fires are a devastating natural disaster. Existing fire detection models face limitations in dataset availability, multi-scale feature extraction, and locating obscured or small flames and smoke. To address these issues, we develop a ...

In the field of neurology, neurons compete for brain attention in winner-take-all (WTA) competitions. Inspired by this, we propose a new WTA-based attention network (called ANW), which can be extended to general neural networks. The ANW network ...

• A multi-exposure fusion light field image quality assessment method.
• A more accurate algorithm for dividing dynamic and static regions.
• A spectrum features extraction module with good performance.

The luminance dynamic range of real scenes can reach up to nine orders, whereas the existing light field camera captures light field images (LFIs) with a limited luminance dynamic range of about two orders. Although LFIs can be enhanced using ...

In conventional cell-free (CF) systems, the scalability and feasibility are hindered by the fact that a single central processing unit (CPU) manages all access points and the stringent synchronization requirement for coherent transmission (CT) ...

Image fusion is crucial in computer vision, offering numerous advantages across various applications. However, current fusion methods often face challenges in striking a balance between preserving specific features, which are susceptible to ...

• A novel image fusion method is proposed to retain both infrared target and visible information effectively.
• The method analyzes the unique features using the cross-reconstruction uniqueness module.
• Reconstruction of complementary ...

As we all know, conformal arrays can provide smaller radar cross-section (RCS) and greater angle coverage than conventional linear arrays and planar arrays. In this paper, we develop a robust adaptive beamforming (RAB) approach using the ...

Multi-view unsupervised feature selection (MUFS) has been proven to be an efficient dimensionality reduction technique for multi-view data. Existing methods have two main challenges: (1) The consistency information from different views is not ...

A new design method of shared signal is proposed for the Frequency Diversity Array (FDA) joint radar jamming system (JRJS). Each array element of FDA JRJS transmits the same shared signal, converts the beam pattern synthesis into spectrum design ...

• The generalized approach for design of the harmonic analyzers and filter banks is given.
• The primary part is the resonator filter structure with cascaded resonators.
• Frequency responses of the harmonic filters are reshaped by ...

The cascaded-resonator (CR)-based filter structure provides high attenuation in the stopbands thanks to the serially coupled resonators, which is an advantage in many applications of harmonic analyses and/or filtering. In addition to that, it has ...

Display Omitted

Visual system provides comprehensive road information for autonomous driving vehicles. Haze adversely affects the quality of driving images captured by onboard cameras, which poses a significant challenge to the safe operation of vehicles relying ...

Tiny object detection in remote sensing images has been a popular and challenging task in recent years. Due to the mismatch of feature scales that tiny objects rely on and the interference from complex surroundings in remote sensing images, ...

With the improvement of radar resolution, the amplitude distribution of sea clutter has begun to exhibit significant heavy-tailed characteristics. Existing models for sea clutter amplitude distribution do not sufficiently solve this problem, ...

• A novel distribution model of mixture-texture clutter, including more parameters, is introduced for enhanced fitting accuracy.
• A range-spread targets detector with CFAR property is designed based on the clutter distribution model.
• ...

Spoken language change detection (LCD) refers to detecting language switching points in a multilingual speech signal. Most approaches in literature use the explicit framework that requires the modeling of intermediate phonemes and Senones to ...

• This work proposed implicit model-based frameworks to perform LCD.
• Humans' ability to detect speaker and language change is studied.
• Motivated by human cognition, the GAN-Attention framework is proposed.
• The proposed framework ...

In the point cloud segmentation tasks, the existing local feature aggregation methods in the up-sampling and down-sampling stages still rely on Euclidean distance to constrain the local aggregation process. However, this approach is susceptible ...

This paper addresses the joint estimation problem of directions of arrival of sources and towed array shape. Ocean currents and the maneuvering of the towing platform often cause the towed array to bend rather than stay in a straight line, so the ...

In this paper, we propose a transmission scheme of analog precoding for an offshore communication system with distributed antenna subarrays to serve multiple vessels. The proposed analog precoding scheme relies only on line-of-sight (LOS) ...

This study explores the potential of integrating the structural similarity (SSIM) as a loss function within generative adversarial networks (GANs) to enhance the generation of room impulse responses (RIRs). Neural network-based RIR generators ...

Copy number variation (CNV), a pivotal form of genomic structural variation, plays a critical role in the genetic diversity of cancer genomes. In numerous studies, the identification of CNVs is commonly approached as an issue of outlier ...