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Publications related to Signal Processing (10,000)
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Article
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Synthetic DNA is a growing alternative to electronic-based technologies in fields such as data storage, product tagging, or signal processing. Its value lies in its characteristic attributes, namely Watson-Crick base pairing, array synthesis, sequencing, toehold displacement and polymerase chain reaction (PCR) capabilities. In this review, we provi...
Article
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The personalized PageRank algorithm is one of the most versatile tools for the analysis of networks. In spite of its ubiquity, maintaining personalized PageRank vectors when the underlying network constantly evolves is still a challenging task. To address this limitation, this work proposes a novel distributed algorithm to locally update personaliz...
Article
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Body area sensing systems specifically designed for motion capture need to consider the wearer’s comfort and wearability criteria. In this paper, after studying body models and their approximation by link-segment models, the kinematics and inverse kinematics problems for determining motion are explored. Different sensor technologies and related mot...
Article
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The main challenges in gearbox condition monitoring and fault diagnosis are the heavy noises caused by harsh operating environments and the complicated nonstationary condition during the runtime. It is extremely difficult and even impossible to obtain sensitive fault characteristics through direct measurements. Thus, it is of great significance of...
Article
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Performance degradation assessment (PDA) is an intersection technology of machine condition monitoring, degradation evaluation, and fault diagnosis in condition-based maintenance (CBM). A commonly used strategy of PDA is to use a health index (HI) to detect an incipient fault for machine condition monitoring and subsequently to track monotonic perf...
Conference Paper
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Recently, the trend of analyzing physiological markers for health tracking using wearable sensors is on the rise. However, due to the small size of these wearables, battery-life is of paramount concern both because of user-experience and the continuity of monitoring. Unlike the heavy mobile devices, which can be packed with powerful batteries, wear...
Article
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This paper presents a convolutional neural network (CNN) based non-invasive pathological voice detection algorithm using signal processing approach. The proposed algorithm extracts an acoustic feature, called chromagram, from voice samples and applies this feature to the input of a CNN for classification. The main advantage of chromagram is that it...
Article
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Induction motors are susceptible to many types of faults that can become catastrophic and cause production stoppages. To predict emerging faults and avoid an unexpected failure, an induction motor can be diagnosed using the proposed motor current normalized residual harmonic analysis method. This method is simple and efficient. It is based on a mor...
Article
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In this article, Lagrange α-exponential synchronization of non-identical fractional-order complex-valued neural networks (FOCVNNs) is studied. Numerous favorable conditions for achieving Lagrange α-exponential synchronization and α-exponential convergence of the descriptive networks are constructed using additional inequalities and the Lyapunov met...
Article
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Manifold separation technique plays an important role in array modeling and signal processing for arbitrary arrays. By utilizing this technique, the atomic norm minimization (ANM) methods can be extended to the nonlinear arrays for DOA estimation via the generalized line spectral estimation approach. However, such an approach results in a high comp...
Article
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Massive Internet of Things (IoT) systems are one of the main drivers of new wireless standards. It’s necessary that IoT devices cost as little as possible, and to minimize energy consumption. In this paper, new solutions for an extended battery life of IoT devices are proposed. The new signal processing schemes, for massive IoT uplink communication...
Cover Page
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The Special Issue aims to gather recent research focusing on AI and ML methodologies specialized in medical data. Of particular interest are submissions regarding attempts to solve issues surrounding the scarcity and imbalance of medical data (including, but not limited to, data-efficient domain adaption, transfer learning, synthetic data generatio...
Article
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This work aims to improve EEG signal binary and multiclass classification for real-time BCI applications. Therefore, our paper discusses the results of a new real-time approach that was integrated into a complete prediction system, where we proposed a new trick to eliminate the effect of EEG’s non-stationarity nature. This improvement can increase...
Article
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This paper presents an extension of variational mode decomposition (VMD) for successively extracting the modes of multi-sensor data sets. First, we achieve the multi-channel extension of the univariate mode by introducing the multivariate modulated oscillation model, which can take the correlation between multiple data channels into account. Then t...
Article
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In this paper, we introduce a proper approximation of the amplitude response of a digital filter to the Nth power of a Dirichlet kernel, which allows for the construction of efficient decimation architectures. We present an explicit formula to compute how this approximation affects the worst-case aliasing attenuation in the resulting spectral shape...
Article
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The low-rank approximation of a quaternion matrix has attracted growing attention in many applications including color image processing and signal processing. In this paper, based on quaternion normal distribution random sampling, we propose a randomized quaternion QLP decomposition algorithm for computing a low-rank approximation to a quaternion d...
Article
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Multiwavelets, which possess more favorable mathematical properties than scalar-wavelets, are deemed a promising means for non-stationary signal analysis. Due to high computational-complexity incurred in the construction of multiwavelets with arbitrary multiplicities (MWAM), the multiplicity of the multiwavelets currently utilized in practice is us...
Article
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The augmented Lagrangian method (also called as method of multipliers) is an important and powerful optimization method for lots of smooth or nonsmooth variational problems in modern signal processing, imaging and optimal control. However, one usually needs to solve a coupled and nonlinear system of equations, which is very challenging. In this pap...
Article
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Owing to the property of range-angle-dependent beampattern, frequency diverse array (FDA) has promising application potentials in radar field. Furthermore, Combined with multiple-input multiple-output (MIMO) scheme, the transmit waveform can be separated at the receiver, which can increase the flexibility of signal processing. In this paper, we con...
Article
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Nonlinear optical switching is a prominent technology for high-speed data processing. All-optical switching based on phase-shifted fiber Bragg Grating provides a tremendous opportunity with advantages such as improved efficiency, sensitivity, lightweight, and cost-effective parameters as compared to traditional optical switching for designing diffe...
Article
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The ability to detect small targets in sea clutter is still an ongoing challenge, even for modern radar systems. Over the past decade, the development of new radar waveforms and signal processing algorithms has been assisted by an increasingly good understanding of the characteristics of sea clutter. Nevertheless, many challenges remain in the deve...
Article
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Digital signal processors (DSP) the endless requirement is the development of ability in processors to hold the difficulties resulted in the assimilation of CPU cores in a particular IC. Certain functions like convolution, transform, correlation and filtering are performed using digital signal processor. All these functions requires multiplication...
Article
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In this paper, a novel and efficient photonic-assisted remote frequency measurement (RFM) system with a significantly simplified structure and flexible operation range is proposed. In this system, the remote antenna unit (RAU) and the the central station (CS) are separated to ensure the concealment and safety of the signal processing unit. At the R...
Article
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This paper reports on the theoretical analysis and microcontroller implementation of smooth nonlinear resistor-capacitor shunted Josephson junction (SNRCSJJ) circuit. The smooth nonlinear resistor is described by a cosine interference term. The stability of the equilibrium points obtained from the rate equations describing the SNRCSJJ circuit revea...
Article
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Tool wear monitoring and real-time predicting tool life during the machining process is becoming a crucial element in modern manufacturing to properly determine the ideal point to replace tool, remains a challenge currently. In this paper, the model approach for in-process monitoring and predicting progressive tool wear by using machine vision is p...
Preprint
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Reverberations are unavoidable in enclosures, resulting in reduced intelligibility for hearing impaired and non native listeners and even for the normal hearing listeners in noisy circumstances. It also degrades the performance of machine listening applications. In this paper, we propose a novel approach of binaural dereverberation of a single spee...
Preprint
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Reverberation results in reduced intelligibility for both normal and hearing-impaired listeners. This paper presents a novel psychoacoustic approach of dereverberation of a single speech source by recycling a pre-trained binaural anechoic speech separation neural network. As training the deep neural network (DNN) is a lengthy and computationally ex...
Preprint
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As the scale of problems and data used for experimental design, signal processing and data assimilation grows, the oft-occuring least squares subproblems are correspondingly growing in size. As the scale of these least squares problems creates prohibitive memory movement costs for the usual incremental QR and Krylov-based algorithms, randomized lea...
Article
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Traditional rock bolt inspection methods are destructive and limited. Non-destructive testing (NDT) based on the stress wave method can realize a fast and convenient quality detection of rock bolts. To verify the effectiveness of the stress wave-based anchor NDT method, a multi-functional experimental bench was customized on the basis of a bench-pu...
Article
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Pattern recognition is the computerized identification of shapes, designs, and reliabilities in information. It has applications in information compression, machine learning, statistical information analysis, signal processing, image analysis, information retrieval, bioinformatics, and computer graphics. Similarly, a medical diagnosis is a procedur...
Preprint
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Representing signals with sparse vectors has a wide range of applications that range from image and video coding to shape representation and health monitoring. In many applications with real-time requirements, or that deal with high-dimensional signals, the computational complexity of the encoder that finds the sparse representation plays an import...
Article
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We propose a new method to estimate causal effects from nonexperimental data. Each pair of sample units is first associated with a stochastic ‘treatment’—differences in factors between units—and an effect—a resultant outcome difference. It is then proposed that all pairs can be combined to provide more accurate estimates of causal effects in nonexp...
Article
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Ref: MSSP22-862R1 Title: Error prediction of balancing machine calibration based on machine learning method Authors: Yanjuan Hu; Wenjun Lv; Zhanli Wang; Liang Liu; Hongliang Liu Dear Dr Belhocine, Thank you for your review of this manuscript. You can access your review comments by logging onto the Editorial Manager site at: https://www.editorial...
Article
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In different kinds of sports, the balance control ability plays an important role for every athlete. Therefore, coaches and athletes need accurate and efficient assessments of the balance control ability to improve the athletes’ training performance scientifically. With the fast growth of sport technology and training devices, intelligent and autom...
Article
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Non-intrusive load monitoring (NILM) is the task of disaggregating the total power consumption into its individual sub-components. Over the years, signal processing and machine learning algorithms have been combined to achieve this. Many publications and extensive research works are performed on energy disaggregation or NILM for the state-of-the-ar...
Article
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Welding testing is particularly important in industrial systems, but there are still some deficiencies in terms of testing performance, anti-noise capability and defect identification in current mainstream welding non-destructive testing technologies. With the development of structured-light non-destructive testing technology, deep learning technol...
Preprint
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Prediction of annual crop yields at a county granularity is important for national food production and price stability. In this paper, towards the goal of better crop yield prediction, leveraging recent graph signal processing (GSP) tools to exploit spatial correlation among neighboring counties, we denoise relevant features via graph spectral filt...
Article
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This article contributes a new configuration of the current mode (CM) sinusoidal oscillator employing a single voltage dif-ferencing transconductance amplifier (VDTA), as an active building block, and all grounded passive elements. This fully electronically tunable circuit offers independent control of its design parameters i.e., oscillation condit...
Article
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Waterjet-guided laser machining is a novel process used for precision cutting and drilling of various materials and geometries. There are many noise factors in the process affecting the laser beam characteristics, namely the effective cutting length and laser power in the waterjet. Although these variables are mainly set by the laser and waterjet p...
Book
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Python is used in a wide range of geoscientific applications, such as in processing images for remote sensing, in generating and processing digital elevation models, and in analyzing time series. This book introduces methods of data analysis in the geosciences using Python that include basic statistics for univariate, bivariate, and multivariate da...
Article
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Recently, the ever-growing interest in the continuous monitoring of heart function in out-of-laboratory settings for an early diagnosis of cardiovascular diseases has led to the investigation of innovative methods for cardiac monitoring. Among others, wearables recording seismic waves induced on the chest surface by the mechanical activity of the h...
Conference Paper
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For the development of muscle-machine interfaces (MuMIs), researchers have relied mainly on Electromyogra-phy (EMG) signals. However, these signals require complex hardware systems, as well as specialized signal processing and feature extraction methods. To overcome these issues, in our previous work, we proposed a novel MuMI for decoding human int...
Article
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Bioimpedance spectroscopy (BIS) is an advanced measurement method for providing information on impedance changes at several frequencies by injecting a low current into a device under test and analyzing the response voltage. Several methods have been elaborated for BIS measurement, calculating impedance with a gain phase detector (GPD), IQ demodulat...
Preprint
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Fast Fourier Transform (FFT) relies on the HRV frequency-domain analysis techniques. It requires re-sampling of the inherently unevenly sampled heartbeat time-series (RR tachogram) to produce an evenly sampled time series of the heartbeat. However, re-sampling of the heartbeat time -- series is found to produce a substantial error when estimating a...
Preprint
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Current, state-of-the-art CCDs are close to being able to deliver all key performance figures for future strategic X-ray missions except for the required frame rates. Our Stanford group is seeking to close this technology gap through a multi-pronged approach of microelectronics, signal processing and novel detector devices, developed in collaborati...
Article
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This paper proposes a methodology for detection and classification of fatigue damage in mechanical structures in the framework of neural networks (NN). The proposed methodology has been tested and validated with polycrystalline-alloy (AL7075-T6) specimens on a laboratory-scale experimental apparatus. Signal processing tools (e.g., discrete wavelet...
Article
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The rockburst simulation test is conducted by utilizing a mineral-containing marble specimen. The loading condition is set to the three directions, each loading on five surfaces except for a single free surface. The whole test procedure is monitored in real time by using a PCI-II acoustic emission monitoring system and a high-speed camera. Accordin...
Article
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Optic measurement nowadays shows more prominent features over the traditional sensor-based measurement techniques as it does not need sensor installment and can provide simultaneous measurements with very high spatial resolution. Phase-based video processing has been widely used in optic measurement for capturing small motions. It relies on the ass...
Article
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Intelligent waveform analysis surveying geological structures is a challenging task in remote acoustic measurement for formation detection, which has two problems: (1) time parametric imaging is disturbed by noisy environments and (2) manually annotated data for machine learning are unattainable. These restrict the deployment of advanced parameter...
Article
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This paper presents a new optimal second-order design of the infinite impulse response digital differentiator. This design manifests the L1\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt}...
Article
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All-optical devices have demonstrated a broad range of applications in the communication field. These devices serve as the fundamental building blocks of sophisticated integrated circuits. By integrating these devices into fields such as signal processing, chip design, and network computations, it is possible to achieve a much more efficient device...
Article
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Ocean observation system that involves multiple underwater vehicles and seafloor nodes plays an important role in better learning the ocean, where underwater wireless communication is mandatory for massive data interaction. Optical communication that has wide bandwidth and comprehensive working distance is the preferred method compared to acoustic...
Preprint
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The fractional Schr\"{o}dinger equation (FSE) -- a natural extension of the standard Schr\"{o}dinger equation -- is the basis of fractional quantum mechanics. It can be obtained by replacing the kinetic-energy operator with a fractional derivative. Here, we report the experimental realisation of an optical FSE for femtosecond laser pulses in the te...
Article
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A well-known representation method for 3D images is the Depth-Image-Based-Rendering method (DIBR). It operates on a monoscopic center view and an associated per-pixel depth map image to generate two virtual views; a left-eye view and a right-eye view. During transmission, the three views can be illegally copied and manipulated, and thus providing c...
Article
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In this paper, the effects of slowly varying external excitation and the sign of the strength of signum term of system with a simple signum nonlinearity function are investigated by using the fast-slow analysis method and the transformation phase portrait method. Firstly, a double-well and single-well non-smooth potential are presented. A compariso...
Article
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Meat is rich in many nutritional elements and is one of the most basic foods for human beings. The demand for meat is increasing year by year, but at the same time, meat is highly susceptible to spoilage during storage and transportation, and consumption of such meat can be hazardous to human health. Gas sensing technology provides a nondestructive...
Technical Report
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Fast Fourier Transform (FFT) relies on the HRV frequency-domain analysis techniques. It requires re-sampling of the inherently unevenly sampled heartbeat time-series (RR tachogram) to produce an evenly sampled time series of the heartbeat. However, re-sampling of the heartbeat time – series is found to produce a substantial error when estimating an...
Preprint
Full-text available
Nuclear Magnetic Resonance (NMR) is used in structural biology to experimentally determine the structure of proteins, which is used in many areas of biology and is an important part of drug development. Unfortunately, NMR data can cost thousands of dollars per sample to collect and it can take a specialist weeks to assign the observed resonances to...