25 papers · ranked by Valyu relevance
Dimitris A. Barkas, George Ch. Ioannidis, Stavros D. Kaminaris, Constantinos S. Psomopoulos + 1 more
'Constantinos S. Psomopoulos' 'Fco Javier Rodríguez'] During the last few decades, the poor quality of produced electric power is a key factor that has affected the operation of critical electrical infrastructure such as high-voltage equipment. This type of equipment exhibits multiple different failures, which…
Uriah Daugaard, Stefanie Merkli, Ewa Merz, Francesco Pomati + 1 more
Facing climate change and biodiversity loss, it is critical that ecology advances so that processes, such as species interactions and dynamics, can be correctly estimated and skillfully forecasted. As different processes occur on different time scales, the sampling frequency used to record them should intuitively match…
Mentari Putri Jati, Cheng-Kai Yao, Yen-Chih Wu, Muhammad Irfan Luthfi + 4 more
'Muhammad Irfan Luthfi' 'Sung-Ho Yang' 'Amare Mulatie Dehnaw' 'Peng-Chun Peng' 'Tamara Basova'] This study introduces a novel deep neural network (DNN) framework tailored to breaking the sampling limit for high-frequency vibration recognition using fiber Bragg grating (FBG) sensors in conjunction with low-power…
L.J. Elstub, L.M. Grohowski, D.N. Wolf, M.K. Owen + 2 more
Pressure sensing insoles enable us to estimate forces under the feet during activities such as running, which can provide valuable insight into human movement. Pressure insoles also afford the opportunity to collect more data in more representative environments than can be achieved in laboratory studies. One key…
Isaac Amidror
Sampling moiré effects are well known in signal processing. They occur when a continuous periodic signal g(x) is sampled using a sampling frequency fs that does not respect the Nyquist condition, and the signal-frequency f folds over and gives a new, false low frequency in the sampled signal. However, some visible…
F. Caspers
For the characterization of components, systems and signals in the RF and microwave range, several dedicated instruments are in use. In this paper the fundamentals of the RF-signal sampling technique, which has found widespread applications in 'digital' oscilloscopes and sampling scopes, are discussed. The key element…
Rastislav J. Telgarsky
Time series are collected and studied extensively for the knowledge about the data source characteristics such as the trend or the spectral landscape. Some peaks in the spectral landscape correspond to dominant frequencies. The approach here is empirical: all time series are discrete and finite. Contents: Introduction.…
H. Schmickler
Depending on the application people use time-domain or frequency-domain signals in order to measure or describe processes. First we will look at the definition of these terms, produce some mathematical background and then apply the tools to measurements made in the accelerator domain. We will first look at signals…
N. G. Paulter Jr.
The effect of non-equispaced sampling instants and timebase gain on the information content of the discretized replica of a periodic signal is examined. The effect of the duration of record epochs that are not equal to an integer number of signal periods on the information content of the discretized replica is also…
Matthew Bailey, Mark Wilson
One of the critical tools of persistent homology is the persistence diagram. We demonstrate the applicability of a persistence diagram showing the existence of topological features (here rings in a 2D network) generated over time instead of space as a tool to analyse trajectories of biological networks. We show how the…
Kim Chol-jun
The spectral analysis with stochastic significance cannot distinguish the spurious cycles effectively, because a non-stationary signal can make a significant peak in spectrum. I show that the random separation between the grand extremes such as grand maxima and minima in solar activity can make a spurious but…
Y. Shiogai, A. Stefanovska, P.V.E. McClintock
The application of methods drawn from nonlinear and stochastic dynamics to the analysis of cardiovascular time series is reviewed, with particular reference to the identification of changes associated with ageing. The natural variability of the heart rate (HRV) is considered in detail, including the respiratory sinus…
Nan Chu
Detailed alias frequency formula and the effect of alias sampling on the calculation of MHD mode number are derived. It is discovered that the absolute MHD mode number/structure does not change under alias sampling. This discovery can help us to determine the structure of the high frequency MHD mode with low frequency…
Elena Serea, Codrin Donciu, Marinel Costel Temneanu, Mario Luiso + 1 more
The accurate frequency estimation of sinusoidal signals remains a key requirement in precision instrumentation and signal analysis, particularly in applications where noise and spectral leakage affect the measurement accuracy. This paper introduces a new frequency-domain technique, called IAE-DFT (Iterative Amplitude…
Leonhard M. Reindl, Taimur Aftab, Thomas Schaechtle, Thomas Ostertag + 3 more
Resonators are passive devices that respond to an excitation signal by oscillating at their natural frequency with exponentially decreasing amplitudes. Physical, chemical and electrical variables can modify the natural frequencies of resonators. If resonators are connected to antennas or other transducers that couple…
M. Gąsior
Analog to digital conversion is a very important part of almost all beam instrumentation systems. Ideally, in a properly designed system, the used analog-to-digital converter (ADC) should not limit the system performance. However, despite recent improvements in ADC technology, quite often this is not possible and the…
Authors not listed
This report compares various simulation and data analysis methods for free induction decay (FID) signals in Nuclear Magnetic Resonance (NMR) Spectroscopy. The methods discussed include discrete fast Fourier transformation (FFT), least squares fitting (LSF), short-time Fourier transformation (STFT), and wavelet…
Alexandra Barayeu, Ramona Schäfer, Jan Grewe, Jan Benda
Beats are periodic amplitude modulations resulting from the superposition of two spectrally close periodic signals, where the difference between the two signal frequencies defines the frequency of the beat. Such amplitude modulations are known to be well encoded in corresponding firing rate modulations in auditory…
Authors not listed
Nondestructive ultrasonic testing is finding increasing use in battery science. We provide instructions and software for the development of a low cost, modular, and easy to use scanning acoustic microscope. Basic principles of ultrasonic testing are discussed with particular attention to its application for operando…
Andrew J. Quinn, Vítor Lopes-dos-Santos, Norden Huang, Wei-Kuang Liang + 5 more
Non-sinusoidal waveform is emerging as an important feature of neuronal oscillations. However, the role of single cycle shape dynamics in rapidly unfolding brain activity remains unclear. Here, we develop an analytical framework that isolates oscillatory signals from time-series using masked Empirical Mode…
Authors not listed
Electrochemical impedance spectroscopy (EIS) is a powerful analytical technique for studying electrochemical systems, offering broad frequency range coverage and straightforward implementation. However, EIS measurements at low frequencies are limited by both lengthy acquisition times and the risk of disrupting…
Adeleke Maradesa, Baptiste Py, Francesco Ciucci
Electrochemical impedance spectroscopy (EIS) is widely used to study the properties of electrochemical materials and systems. However, analyzing EIS data remains challenging. Among various analysis methods, the distribution of relaxation times (DRT) has emerged as a novel non-parametric approach capable of providing…
William Daniels, Meng Jia, Dorit Hammerling
We propose a method for estimating the duration of methane emissions on oil and gas sites, referred to as the Probabilistic Duration Model (PDM), that uses concentration data from continuous monitoring systems (CMS). The PDM probabilistically addresses a key limitation of CMS: non-detect times, or the times when wind…
Jason Samaha, Michael X Cohen
Oscillatory neural dynamics are highly non-stationary and require methods capable of quantifying time-resolved changes in rhythmic activity in order to understand neural function. Recently, a method termed ‘frequency sliding’ was introduced to estimate the instantaneous frequency of oscillatory activity, providing a…
Zachary D Langford, Emmanuel Procyk, Charles R E Wilson
The importance of studying the transient burst-like nature of beta- and gamma-band oscillations has become increasingly clear. This approach challenges accepted interpretations of oscillatory behavior and emphasizes the importance of examining phenomena at appropriate temporal scales, as opposed to trial averages.…