In the domain of array signal processing, impulsive noise represents a pervasive challenge that undermines the accuracy and reliability of the direction of arrival (DOA) estimation techniques. To address the need to increase the performance of DOA ...

Traditionally, annihilating filter approach (a.k.a Prony’s approach), universal finite rate of innovation (FRI), and compressed sensing algorithms have been presented to solve the sparse reconstruction problem when the measurement matrix has ...

In recent years, researchers have focused on the biometric applications of bioelectrical signals, particularly electroencephalograms (EEG), to enhance information security. Using EEG as a biometric offers advantages that cannot be forgotten or ...

In the field of array signal processing, adaptive beamforming technology is commonly used to suppress sidelobe interference. However, when facing challenges such as an increased number of echoes, rapid changes in the angle of arrival, and ...$\mathrm{}$

The classical filtered-x least-mean-square (FxLMS) algorithm, which only accepts real-valued parameter operations, is insufficient in active impulsive noise control systems. The quaternion algorithms have better geometric properties than the real-...$$$$

The concise exponential stability conditions for bidirectional associative memory (BAM) quaternion memristive neural networks affected by mixed delays are presented. The involved delays include multiple time-varying transmission delays and ...

Voice biometrics systems are gaining popularity with the increasing deployment of systems based on multi-factor authentication that uses multiple modalities for secure user identification. Speaker verification systems (SVSs) constitute the ...

Frequency-domain adaptive filter (FDAF) algorithms have been widely used in many fields in virtue of its fast convergence and low computational complexity. However, FDAF algorithms with fixed step-size cannot balance convergence rate and steady-...

Active noise cancellation of audio signals, which has been the subject of a substantial quantity of research in the past, remains a significant obstacle in many aspects of acoustic signal processing. In a natural environment, the system’s ...

The primary issues in producing natural images are low contrast and poor quality. A novel Daubechies wavelet transform technique is proposed for image enhancement which is implemented in field-programmable gate array (FPGA). The new Daubechies-2 (...

Recent advances in digital audio source recognition, particularly within judicial forensics and intellectual property rights domains, have been significantly propelled by deep learning technologies. As these methods evolve, they introduce novel ...

The variational mode decomposition (VMD) and its variants aim to decompose a given signal into a set of narrow band modes. The analysis of these modes is usually based on the Fourier analysis. That is, the center frequencies of these modes are ...

Phase noise (PN) is a prevalent challenge in oscillator-driven systems, leading to spectral dispersion of the power spectral density (PSD) around a Dirac delta function. This paper addresses the task of estimating a communication channel affected ...

This letter proposes a two-dimensional direction-of-arrival (2-D DOA) estimation method for conjugate augmented spatial-temporal L-shaped arrays based on the rank-reduction principle. The basic idea of the proposed method is to utilize the spatial-...

Classification of cardiac diseases from electrocardiogram signals is essential for enhancing patient results to minimize healthcare costs, early detection and accurate diagnosis. This research investigates the integration of dimensionality ...

Kernel-based online classification algorithms, such as the Perceptron, NORMA, and passive-aggressive, are renowned for their computational efficiency but have been criticized for slow convergence. However, the parallel projection algorithm, within ...$$

Image dehazing is an ill-posed issue in low-level computer vision; therefore, it grabbed many researchers’ attention. The key mechanism to improve dehazing performance remains unclear, although many existing network pipelines work fine. To improve ...

An acoustic scene is a complicated phenomenon; thus, it would be difficult to draw out scene-specific information from the foreground and background sound sources. To accurately discern the sound sceneries and pinpoint the distinct sound ...