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Journal articles on the topic 'Similar signals'

Author: Grafiati

Published: 4 June 2025

Last updated: 1 August 2025

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1

Alexiev, Kiril M., Teodor G. Toshkov, and Dimiter P. Prodanov. "Self-Similar Decomposition of Digital Signals." Cybernetics and Information Technologies 20, no. 5 (2020): 20–37. http://dx.doi.org/10.2478/cait-2020-0038.

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AbstractTraditionally, the engineers analyze signals in the time domain and in the frequency domain. These signal representations discover different signal characteristics and in many cases, the exploration of a single signal presentation is not sufficient. In the present paper, a new self-similar decomposition of digital signals is proposed. Unlike some well-known approaches, the newly proposed method for signal decomposition and description does not use pre-selected templates such as sine waves, wavelets, etc. It is realized in time domain but at the same time, it contains information about

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Ray, L. B. "STKE: Distinctly Similar Infection Signals." Science 296, no. 5573 (2002): 1573c—1573. http://dx.doi.org/10.1126/science.296.5573.1573c.

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Han, Qi, Kejia Zhu, Caibo Hu, He Zhao, Shuang Wu, and Yu Fu. "BOC Signal Acquisition Algorithm Based on Similar Enfoldment." International Journal of Aerospace Engineering 2020 (February 25, 2020): 1–19. http://dx.doi.org/10.1155/2020/4314132.

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A BOC signal has been widely used in the Global Navigation Satellite System (GNSS). Although the BOC signal has many advantages, the autocorrelation function (ACF) of the BOC signal has lots of peaks, which makes signal acquisition difficult. This paper proposes a similar enfoldment acquisition (SEA) algorithm, which can be applied to sin-BOC and cos-BOC signals, with even and odd modulation orders. The SEA algorithm utilizes the similarity between the main peak and the secondary peak to construct a new ACF to eliminate the ambiguity of the BOC signal. This paper simulates the acquisition perf

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Tegtman, Natalie T., and Robert D. Magrath. "Discriminating between similar alarm calls of contrasting function." Philosophical Transactions of the Royal Society B: Biological Sciences 375, no. 1802 (2020): 20190474. http://dx.doi.org/10.1098/rstb.2019.0474.

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In a pioneering study of signal design, Marler (Marler 1955 Nature 176 , 6–8. ( doi:10.1038/176006a0 ); Marler 1957 Behaviour 11 , 13–37. ( doi:10.1163/156853956X00066 )) argued that the contrasting acoustic design of hawk (seet) and mobbing alarm calls of European passerines reflected their contrasting function. Hawk alarms were high-frequency tones, warning conspecifics to flee but making localization difficult for predators, while mobbing calls were broadband and harsh, allowing easy localization and approach. Contrasting signal features are also consistent with signal detection theory. Dis

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Huang, YongAn, Wentao Dong, Chen Zhu, and Lin Xiao. "Electromechanical Design of Self-Similar Inspired Surface Electrodes for Human-Machine Interaction." Complexity 2018 (August 13, 2018): 1–14. http://dx.doi.org/10.1155/2018/3016343.

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Stable acquisition of electromyography (EMG)/electrocardiograph (ECG) signal is critical and challenging in dynamic human-machine interaction. Here, self-similar inspired configuration is presented to design surface electrodes with high mechanical adaptability (stretchability and conformability with skin) and electrical sensitivity/stability which are usually a pair of paradoxes. Mechanical and electrical coupling optimization strategies are proposed to optimize the surface electrodes with the 2nd-order self-similar serpentine configuration. It is devoted the relationship between the geometric

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Zvonarev, V. V., I. A. Karabelnikov, and A. S. Popov. "PROBABILITY OF BPSK SIGNAL RECEPTION ERROR IN PRESENCE OF SIMILAR HINDRANCE." Issues of radio electronics, no. 3 (March 20, 2019): 55–59. http://dx.doi.org/10.21778/2218-5453-2019-3-55-59.

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The paper considers the problem of calculation of average probability of error of optimum symbol‑by‑symbol coherent reception of binary opposite phase‑shift keyed signals (BPSK) in the presence of similar synchronous noise. The noise similar to signal of PSK‑2 (BPSK), synchronous on clock periods, matching on frequency, differing in sequence of information characters and, perhaps, on initial phase of the bearing fluctuation is considered, up to mutual coherence of signal and noise. Formulas for calculation of probability of error are derived and results of partial computer type of diagrams of

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Kolodiy, Zenoviy, and Nadiya Lazarenko Nadiya Lazarenko. "INFORMATIONALITY OF NOISE-LIKE SIGNALS." Measuring Equipment and Metrology 85, no. 2 (2024): 9–12. http://dx.doi.org/10.23939/istcmtm2024.02.009.

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With known methods of detecting and extracting a useful signal from a signal-noise mixture, another method of detecting an information signal is proposed - based on the analysis of the energy spectrum of such a mixture. Examples of informa- tional signals were noise-like signals generated by operators. The white noise signal was generated with a computer. The statistical parameters of the signals of the operators and the computer - average value, variance - were commensurate. The analysis of the operators' signals showed that with sufficient duration of these signals, their energy spectrum is

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Yoon, Clara E., Karianne J. Bergen, Kexin Rong, et al. "Unsupervised Large‐Scale Search for Similar Earthquake Signals." Bulletin of the Seismological Society of America 109, no. 4 (2019): 1451–68. http://dx.doi.org/10.1785/0120190006.

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Abstract Seismology has continuously recorded ground‐motion spanning up to decades. Blind, uninformed search for similar‐signal waveforms within this continuous data can detect small earthquakes missing from earthquake catalogs, yet doing so with naive approaches is computationally infeasible. We present results from an improved version of the Fingerprint And Similarity Thresholding (FAST) algorithm, an unsupervised data‐mining approach to earthquake detection, now available as open‐source software. We use FAST to search for small earthquakes in 6–11 yr of continuous data from 27 channels over

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Pan, Li, and Ling Hou. "MITF and cell migration: opposing signals, similar outcome." Pigment Cell & Melanoma Research 29, no. 2 (2016): 229–30. http://dx.doi.org/10.1111/pcmr.12439.

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Schmidt, K. "A puzzle: how similar signals yield different effects." Science 266, no. 5185 (1994): 566–67. http://dx.doi.org/10.1126/science.7939704.

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Seungsin Lee, Wei Zhao, R. Narasimha, and R. M. Rao. "Discrete-time models for statistically self-similar signals." IEEE Transactions on Signal Processing 51, no. 5 (2003): 1221–30. http://dx.doi.org/10.1109/tsp.2003.810281.

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Nasimi, Fahimeh, Mohammad Reza Khayyambashi, Naser Movahhedinia, and Yee Wei Law. "Exploiting similar prior knowledge for compressing ECG signals." Biomedical Signal Processing and Control 60 (July 2020): 101960. http://dx.doi.org/10.1016/j.bspc.2020.101960.

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Baker, Myron. "Geographic variation of three vocal signals in the Australian ringneck (Aves: Psittaciformes): Do functionally similar signals have similar spatial distributions?" Behaviour 148, no. 3 (2011): 373–402. http://dx.doi.org/10.1163/000579511x559751.

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Sriyanto, Sesar Prabu Dwi. "Adaptive seismic noise reduction using Wiener filter." Jurnal Teknologi dan Sistem Komputer 8, no. 1 (2019): 12–20. http://dx.doi.org/10.14710/jtsiskom.8.1.2020.12-20.

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Seismic noise disrupts the earthquake observation system due to the frequency and amplitude of seismic noise similar to the earthquake signal. The filter process is one of the methods that can be used to reduce seismic noise. In this study, the Wiener filter algorithm was designed with the Decision-Directed method for Apriori SNR estimation. This filter was chosen because it is adaptive, so it can adjust to environmental conditions without requiring manual parameter settings. The data used are earthquake signals that occur in the Palu area, Central Sulawesi, which are recorded on PKA29 tempora

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Kim, Ji-Hyeon, Soon-Young Kwon, and Hyoung-Nam Kim. "Enhanced Radar Signal Classification Using AMP and Visibility Graph for Multi-Signal Environments." Sensors 24, no. 23 (2024): 7612. http://dx.doi.org/10.3390/s24237612.

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Accurately classifying and deinterleaving overlapping radar signals presents a significant challenge in complex environments, such as electronic warfare. Traditional methods, such as spectrogram-based analysis, often struggle to differentiate radar signals with similar scan patterns, particularly under low signal-to-noise ratio (SNR) conditions. To address these limitations, we propose a novel two-stage classification framework that combines amplitude pattern (AMP) analysis and visibility graphs to enhance the accuracy and efficiency of radar signal classification. In the first stage, AMP anal

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Ma, Chunchi, Xuefeng Ran, Weihao Xu, et al. "Fine Classification Method for Massive Microseismic Signals Based on Short-Time Fourier Transform and Deep Learning." Remote Sensing 15, no. 2 (2023): 502. http://dx.doi.org/10.3390/rs15020502.

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Numerous microseismic signals are produced by rock mass fracture during earthquakes, geological disasters, or underground excavations. Moreover, a large amount of noise signals are captured during microseismic signal monitoring. Specifically, some noise signals closely resemble microseismic signals, which severely impedes the rapid and accurate detection of the latter and the assessment of geological hazards. Therefore, we propose a precise model for identifying and classifying microseismic signals based on deep learning technology and short-time Fourier transform (STFT) technology. First, the

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GETTY, T. "Sexually selected signals are not similar to sports handicaps." Trends in Ecology & Evolution 21, no. 2 (2006): 83–88. http://dx.doi.org/10.1016/j.tree.2005.10.016.

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Taylor, Ryan C., Barrett A. Klein, and Michael J. Ryan. "Inter-signal interaction and uncertain information in anuran multimodal signals." Current Zoology 57, no. 2 (2011): 153–61. http://dx.doi.org/10.1093/czoolo/57.2.153.

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Abstract Disentangling the influence of multiple signal components on receivers and elucidating general processes influencing complex signal evolution are difficult tasks. In this study we test mate preferences of female squirrel treefrogs Hyla squirella and female túngara frogs Physalaemus pustulosus for similar combinations of acoustic and visual components of their multimodal courtship signals. In a two-choice playback experiment with squirrel treefrogs, the visual stimulus of a male model significantly increased the attractivness of a relatively unattractive slow call rate. A previous stud

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Migot, Asaad, Ahmed Saaudi, and Victor Giurgiutiu. "New Method of Impact Localization on Plate-like Structures Using Deep Learning and Wavelet Transform." Sensors 25, no. 6 (2025): 1926. https://doi.org/10.3390/s25061926.

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This paper presents a new methodology for localizing impact events on plate-like structures using a proposed two-dimensional convolutional neural network (CNN) and received impact signals. A network of four piezoelectric wafer active sensors (PWAS) was installed on the tested plate to acquire impact signals. These signals consisted of reflection waves that provided valuable information about impact events. In this methodology, each of the received signals was divided into several equal segments. Then, a wavelet transform (WT)-based time-frequency analysis was used for processing each segment s

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Liu, Jun, Shenghua Gong, Tong Zhang, Zhenxiang Zhao, Hao Dong, and Jie Tan. "TF-REF-RNN: Time-Frequency and Reference Signal Feature Fusion Recurrent Neural Network for Underwater Backscatter Signal Separation." Remote Sensing 16, no. 19 (2024): 3635. http://dx.doi.org/10.3390/rs16193635.

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Underwater wireless sensor networks play an important role in exploring the oceans as part of an integrated space–air–ground–ocean network. Because underwater energy is limited, the equipment’s efficiency is significantly impacted by the battery duration. Underwater backscatter technology does not require batteries and has significant potential in positioning, navigation, communication, and sensing due to its passive characteristics. However, underwater backscatter signals are susceptible to being swamped by the excitation signal. Additionally, the signals from different reflection signals sha

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21

Zhen, Xiao Qiong, and Zhen Dong Yao. "Vertical Sampling Based on Testing Time via ADC." Applied Mechanics and Materials 20-23 (January 2010): 618–23. http://dx.doi.org/10.4028/www.scientific.net/amm.20-23.618.

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An unavoidable disadvantage of most traditional sampling methods is the large amount of samples data preservation during sampling process. Equivalent Time Sampling is a popular sampling method which usually used in oscilloscope technology. When input signals have the similar features as the jump signal, whose information focus in a very short period of time, the Equivalent Time Sampling’s disadvantage will become more obvious. This paper proposed a new sampling method named Vertical Sampling based on testing time via ADC. High-speed voltage comparator, ADC, and mathematical model between phase

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22

Kato, Kentaro. "Non-Orthogonality of QAM and Sunflower-like Modulated Coherent-State Signals." Entropy 27, no. 1 (2025): 30. https://doi.org/10.3390/e27010030.

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The limitations of cloning and discriminating quantum states are related to the non-orthogonality of the states. Hence, understanding the collective features of quantum states is essential for the future development of quantum communications technology. This paper investigates the non-orthogonality of different coherent-state signal constellations used in quantum communications, namely phase-shift keying (PSK), quadrature-amplitude modulation (QAM), and a newly defined signal named the sunflower-like (SUN) coherent-state signal. The non-orthogonality index (NOI) and the average probability of

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23

Ballesteros L., Dora M., and Juan M. Moreno A. "bit more on the ability of adaptation of speech signals." Revista Facultad de Ingeniería Universidad de Antioquia, no. 66 (April 5, 2013): 82–90. http://dx.doi.org/10.17533/udea.redin.15042.

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Some traditional digital signal processing techniques encompass enhancement, filtering, coding, compression, detection and recognition. Recently, it has been presented a new hypothesis of signal processing known as the ability of adaptation of speech signals: an original speech signal may sound similar to a target speech signal if a relocation process of its wavelet coefficients is applied. This hypothesis is true under some conditions theoretically defined. In this paper we present the basic idea behind the hypothesis of adaptation and moreover, we test the hypothesis within four cases: speec

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Harel, Matan, Elchanan Mossel, Philipp Strack, and Omer Tamuz. "Rational Groupthink*." Quarterly Journal of Economics 136, no. 1 (2020): 621–68. http://dx.doi.org/10.1093/qje/qjaa026.

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Abstract We study how long-lived rational agents learn from repeatedly observing a private signal and each others’ actions. With normal signals, a group of any size learns more slowly than just four agents who directly observe each others’ private signals in each period. Similar results apply to general signal structures. We identify rational groupthink—in which agents ignore their private signals and choose the same action for long periods of time—as the cause of this failure of information aggregation.

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Chen, Hua, and Xue Ting Zhang. "The Comparison Study of Targeting Observation for Extratropical Transition of Hurricane Fabian." Advanced Materials Research 518-523 (May 2012): 5840–45. http://dx.doi.org/10.4028/www.scientific.net/amr.518-523.5840.

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This study compares the propagation methods of the impact of targeted observations during the extratropical transition (ET) of Hurricane Fabian in three denial experiments. In sensitive experiment, the signal (forecast difference between denial experiments and control) propagates from the tropical cyclone (TC) to the midlatitude jet through the interaction between the TC and the jet itself. Thereafter, signals propagate eastward along the jet by way of Rossby wave packets. Some differences exist between random/Atlantic and sensitive experiment although many of their signal propagation characte

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Sakhawat, S., M. Usman, and A. Hanif. "POWER BUDGET ANALYSIS OF REFLECTED GPS L1 AND L5 FREQUENCY SIGNALS FOR PASSIVE MICROWAVE IMAGING." Nucleus 51, no. 1 (2014): 87–92. https://doi.org/10.71330/thenucleus.2014.725.

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The GPS signals are commonly used for navigation purposes. Another utilization of reflected GPS signals is for remote sensing. This paper focuses on the power budget analysis of bi-static radar using GPS satellite as a â€œtransmitter of opportunityâ€. In this application the direct and reflected GPS signals are acquired using customized hardware, where the receiver can be mounted on an airborne platform or remain static. GPS satellites currently transmit L1 frequency signals with C/A codes used as a ranging signal, but plans for transmitting additional L5 frequency signals as part of GPS mode

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Kuzmin L.V. "Detection of a chaotic signal with noise by quantization over several amplitude levels in the model of a radio engineering chaos generator." Technical Physics Letters 48, no. 6 (2022): 26. http://dx.doi.org/10.21883/tpl.2022.06.53460.19112.

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A method for detecting a continuous chaotic signal with a Gaussian noise by quantizing over four amplitudes and comparing the parameters of the obtained discrete sequence with the parameters of a similar sequence for a non-noisy chaotic signal is proposed. A quantization scheme is developed. It is determined by the structure of the phase space of a dynamic system that generates a chaotic signal. The source of the chaotic signal is a model of a radio engineering generator. The identified chaotic signal has a positive senior Lyapunov exponent and a continuous power spectrum. Keywords: chaotic si

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Boudjada, M. Y., K. Schwingenschuh, H. K. Biernat, et al. "Similar behaviors of natural ELF/VLF ionospheric emissions and transmitter signals over seismic Adriatic regions." Natural Hazards and Earth System Sciences 8, no. 6 (2008): 1229–36. http://dx.doi.org/10.5194/nhess-8-1229-2008.

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Abstract. We report on the analysis of ELF/VLF emissions observed by the Instrument Champ Electrique (ICE) experiment onboard the DEMETER micro-satellite. We consider principally selected seismic events reported by Molchanov et al. (2006). These authors studied the VLF signals radiated by ground transmitters and received on board the DEMETER micro-satellite. They revealed a drop of the signals (scattering spot) connected with the occurrence of large earthquakes. In our investigations, we proceed to a spectral analysis of ICE observations with the aim to find if the natural ionospheric VLF/ELF

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Lynnyk, M., and A. Nakonechny. "METHODS AND ALGORITHMS OF COMPLEXING IMAGES AND THERMAL SIGNALS." Computer systems and network 5, no. 1 (2023): 60–71. http://dx.doi.org/10.23939/csn2023.01.060.

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This paper considers possible approaches to improving the quality of image signal formation both in the light and in the dark period of the day, as well as reducing the influence of noise, interference and artifacts on the characteristics of image signals. It is proposed to use the wavelet domain for the analysis of thermal and image signals with their subsequent possible complexation. The main features of the formation of such signals are indicated. It is shown that the proposed approach allows to improve the quality characteristics of image signals, especially in the dark period of time, as

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Nigmatullin, Raoul R., and J. A. Tenreiro Machado. "Self-Similar Property of Random Signals: Solution of Inverse Problem." Journal of Applied Nonlinear Dynamics 2, no. 2 (2013): 141–50. http://dx.doi.org/10.5890/jand.2013.04.003.

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Boikov, S. N., and S. N. Gurbatov. "Self-similar evolution of complex signals in nonlinear nondispersive media." Radiophysics and Quantum Electronics 36, no. 8 (1993): 524–27. http://dx.doi.org/10.1007/bf01038426.

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Wang, Yan Qiu, Yan Wen Wang, Chun Mei Pei, Xiu Qing Yang, and Hai Rong Ye. "Intelligent Algorithm in Automatic Fire Alarm Application." Advanced Materials Research 605-607 (December 2012): 1851–54. http://dx.doi.org/10.4028/www.scientific.net/amr.605-607.1851.

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Characteristics of fire detection signal are proposed that, in fire case non-fire signals caused by other factors can not be separated from fire signals and in non-fire case non-fire signals may produce changes similar to fire signals. An intelligent algorithm is pointed out to reduce false alarm rate and miss alarm rate, it can improve fire alarm accuracy. The intelligent algorithm includes digital filter, sensitivity autoregulation, drift aotocompensation and rising rate analysis, and it is useful in practical engineering.

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Schwarz, Roland, and Martin Pfennigbauer. "Pre-Detection and Pre-Registration Averaging of Full Wave Signals in Airborne LiDAR Bathymetry." Remote Sensing 16, no. 20 (2024): 3827. http://dx.doi.org/10.3390/rs16203827.

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A well-known technique to enhance the signal to noise ratio (SNR) of repetitive signals is to average them. The coherent parts of the signal add up constructively while the incoherent parts are averaged out. The prerequisite is that the signals are acquired under conditions of high repeatability, i.e., the signals must be sufficiently similar. In the present technical note, we describe an efficient method for maintaining signal similarity by ensuring spatial and temporal proximity of laser waveform signals obtained by a sensor operated from an airborne platform. The method makes use of a few a

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Nittrouer, Susan, and Joanna H. Lowenstein. "Beyond Recognition: Visual Contributions to Verbal Working Memory." Journal of Speech, Language, and Hearing Research 65, no. 1 (2022): 253–73. http://dx.doi.org/10.1044/2021_jslhr-21-00177.

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Purpose: It is well recognized that adding the visual to the acoustic speech signal improves recognition when the acoustic signal is degraded, but how that visual signal affects postrecognition processes is not so well understood. This study was designed to further elucidate the relationships among auditory and visual codes in working memory, a postrecognition process. Design: In a main experiment, 80 young adults with normal hearing were tested using an immediate serial recall paradigm. Three types of signals were presented (unprocessed speech, vocoded speech, and environmental sounds) in thr

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Byeon, Yeong-Hyeon, and Keun-Chang Kwak. "An Ensemble Deep Neural Network-Based Method for Person Identification Using Electrocardiogram Signals Acquired on Different Days." Applied Sciences 14, no. 17 (2024): 7959. http://dx.doi.org/10.3390/app14177959.

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Electrocardiogram (ECG) signals are a measure minute electrical signals generated during the cardiac cycle, a biometric signal that occurs during vital human activity. ECG signals are susceptible to various types of noise depending on the data acquisition conditions, with factors such as sensor placement and the physiological and mental states of the subject contributing to the diverse shapes of these signals. When the data are acquired in a single session, the environmental variables are relatively similar, resulting in similar ECG signals; however, in subsequent sessions, even for the same p

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Jang, Jinhyuk, Charles Crabtree, and Sona N. Golder. "Electoral coalition signals and voter perceptions." Japanese Journal of Political Science 23, no. 2 (2022): 167–81. http://dx.doi.org/10.1017/s1468109922000020.

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AbstractHow do electoral coalition signals affect voters' perceptions of party positions and coalition behavior in parliamentary democracies? Scholars have found that coalition signals can influence how voters view policy positions of parties. Extending research on the impact of government coalition participation on voter perceptions, a recent study found that Spanish voters update their perceptions of party positions when they receive a signal that a party joined an electoral coalition, believing it to be farther to the left (right) if the signal was of a left- (right-)leaning coalition. That

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Mertens, Verena, Rolf Reineke-Koch, and Jürgen Parisi. "Electron and Hole Trap Signal with Similar Defect Parameters in Chalcopyrite Based Solar Cells." Zeitschrift für Naturforschung A 64, no. 9-10 (2009): 658–64. http://dx.doi.org/10.1515/zna-2009-9-1019.

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Copper chalcopyrite based solar cells with different molar gallium to gallium plus indium ratio (GGI) are looked at, using deep level transient spectroscopy (DLTS) and admittance spectroscopy (AS). Depending on the respective measurement parameters, like reverse bias level, height and length of the voltage pulse applied, either a minority carrier or/and a majority carrier deep level signal is/are detected in the temperature range below 200 K. The AS investigations reveal only one trap signal. After a detailed description of the defect properties taking advantage of the two diode model, we disc

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Reeves, Mason A., Frank S. Mobley, Steven C. Campbell, Alan T. Wall, Reese Rasband, and Gregory Bowers. "Leveraging machine learning and similarity judgements to identify perceptually relevant acoustic features of small, unmanned aircraft system signal similarity." Journal of the Acoustical Society of America 154, no. 4_supplement (2023): A145. http://dx.doi.org/10.1121/10.0023069.

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Auditory signals can be described quantitatively by a set of measurable acoustic features (i.e., zero crossing rate, attack slope, etc.) or qualitatively with adjectives, such as whooping, thunderous, melodic, or in comparative terms such as different, louder, etc. Listeners can rate the similarity of signals and assign qualitative descriptions relatively easily; however, most lack the ability to articulate the quantitative basis of these judgments. Because the qualitative differences in signals typically correlate to a measurable difference in the acoustic features, signal similarity ratings

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Dare, Tyler. "Dynamic time warping for transient noise classification." INTER-NOISE and NOISE-CON Congress and Conference Proceedings 266, no. 1 (2023): 1116–25. http://dx.doi.org/10.3397/nc_2023_0140.

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Dynamic time warping (DTW) is a method of defining the similarity of waveforms. In contrast to cross-correlation, DTW allows signals to be stretched and compressed ("warped") in order to find the best match possible. Once a metric of similarity has been defined, a set of many signals can be partitioned into groups that are mutually similar. Separating signals into similar groups can be a useful first step in finding potential sources of noise. In this paper, the theory of dynamic time warping is reviewed with examples. DTW was used to partition recordings of transient percussion sounds into gr

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Provost, Floriane, Jean-Philippe Malet, Clément Hibert, et al. "Towards a standard typology of endogenous landslide seismic sources." Earth Surface Dynamics 6, no. 4 (2018): 1059–88. http://dx.doi.org/10.5194/esurf-6-1059-2018.

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Abstract. The objective of this work is to propose a standard classification of seismic signals generated by gravitational processes and detected at close distances (<1 km). We review the studies where seismic instruments have been installed on unstable slopes and discuss the choice of the seismic instruments and the network geometries. Seismic observations acquired at 13 unstable slopes are analyzed in order to construct the proposed typology. The selected slopes are affected by various landslide types (slide, fall, topple and flow) triggered in various material (from unconsolidated soils

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Huang, Qinyuan, Qiang Li, Maoxia Ran, Xin Liu, and Ying Zhou. "Threshold-Optimized Swarm Decomposition Using Grey Wolf Optimizer for the Acoustic-Based Internal Defect Detection of Arc Magnets." Shock and Vibration 2021 (March 13, 2021): 1–21. http://dx.doi.org/10.1155/2021/6636873.

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The acoustic-based internal defect detection is essential to ensure the quality of arc magnets efficiently. Swarm decomposition (SWD) is conducive to processing acoustic signals, but it is still confronted with threshold optimization problems. Especially, the existing optimization methods for the SWD thresholds are merely available for a single signal with exclusive characteristics, instead of the various signals with similar characteristics. Therefore, a threshold-optimized SWD using grey wolf optimizer (GWO) is proposed to solve these issues and applied to detect the internal defects of arc

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Peters, Richard A. "Environmental motion delays the detection of movement-based signals." Biology Letters 4, no. 1 (2007): 2–5. http://dx.doi.org/10.1098/rsbl.2007.0422.

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Animal signals are constrained by the environment in which they are transmitted and the sensory systems of receivers. Detection of movement-based signals is particularly challenging against the background of wind-blown plants. The Australian lizard Amphibolurus muricatus has recently been shown to compensate for greater plant motion by prolonging the introductory tail-flicking component of its movement-based display. Here I demonstrate that such modifications to signal structure are useful because environmental motion lengthens the time lizard receivers take to detect tail flicks. The spatio-t

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Dhongade, Dayanand, and Mukesh Patil. "EEG Based Brain Computer Interfacing for Hand Assistant System Using Wavelet Transform." ITM Web of Conferences 32 (2020): 03035. http://dx.doi.org/10.1051/itmconf/20203203035.

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Robots have been of great use to mankind for several years. In situation where human body fails to operate as per the need robot’s functions in those situations quite efficiently. Electroencephalogram (EEG) controlled hand assistant makes use of EEG signals and Brain Computer Interface (BCI). EEG signals are obtained from the brain using Emotiv Insight headset, after which processing and features extraction of the signals is performed and then conditioning of signals is done as it is a low amplitude signal with additive noise. Signals processing is done on the analog signal by using wavelet tr

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Akhi, A. V. "Recognition and classification of noise signals by dolphins under conditions of noise interference and spatial uncertainty of their simultaneous presentation." Akustičeskij žurnal 70, no. 3 (2024): 151–60. http://dx.doi.org/10.31857/s0320791924030144.

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The ability of dolphin`s auditory system to recognize and classify noise signals according to certain invariant features under the influence of noise interference and spatial uncertainty of their simultaneous presentation was studied. The bottlenose dolphins trained to differentiate such signals had to solve this problem under conditions simulating real marine ones, when the perception of a useful signal occurs against the background of similar signals and noise interference. First, the noise signals were sequentially presented to the animal against the background of white masking noise. Furth

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Adeluyi, Olufemi, Miguel A. Risco-Castillo, María Liz Crespo, Andres Cicuttin, and Jeong-A. Lee. "A Computerized Bioinspired Methodology for Lightweight and Reliable Neural Telemetry." Sensors 20, no. 22 (2020): 6461. http://dx.doi.org/10.3390/s20226461.

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Personalized health monitoring of neural signals usually results in a very large dataset, the processing and transmission of which require considerable energy, storage, and processing time. We present bioinspired electroceptive compressive sensing (BeCoS) as an approach for minimizing these penalties. It is a lightweight and reliable approach for the compression and transmission of neural signals inspired by active electroceptive sensing used by weakly electric fish. It uses a signature signal and a sensed pseudo-sparse differential signal to transmit and reconstruct the signals remotely. We h

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Jaume, Rafel, Rodrigo Tenorio, and Alicia M. Sintes. "Assessing the Similarity of Continuous Gravitational-Wave Signals to Narrow Instrumental Artifacts." Universe 10, no. 3 (2024): 121. http://dx.doi.org/10.3390/universe10030121.

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Continuous gravitational-wave (CW) signals are long-lasting quasi-monochromatic gravitational-wave signals expected to be emitted by rapidly rotating non-axisymmetric neutron stars. Depending on the rotational frequency and sky location of the source, certain CW signals may behave in a similar manner to narrow-band artifacts present in ground-based interferometric detectors. Part of the detector characterization tasks in the current generation of interferometric detectors (Advanced LIGO, Advanced Virgo, and KAGRA) aim at understanding the origin of these narrow artifacts, commonly known as "sp

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Kovács, Péter. "ECG signal generator based on geometrical features." Annales Universitatis Scientiarum Budapestinensis de Rolando Eötvös Nominatae. Sectio computatorica, no. 37 (2012): 247–60. https://doi.org/10.71352/ac.37.247.

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Electrocardiograms are widely used in biomedical signal processing to diagnose abnormal heart functioning. Many algorithms have been constructed to analyse, measure and compress these signals. These methods are hard to test because real ECG signals are distorted by several types of noise. In this paper we present an algorithm which generates realistic synthetic ECG signals. This algorithm, among others, can be used for testing new methods in ECG processing. By using numerical and geometrical parameters, which are of diagnostical importance, the generated signal can be interpreted as a biomedic

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Rogozińska, Marta. "Rezeptionssignale beim Prüfungsgespräch aus sprechwissenschaftlicher Sicht." Studia Linguistica 39 (December 7, 2020): 151–65. http://dx.doi.org/10.19195/0137-1169.39.8.

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The article aims to describe the reception signals present in the German exam interview from the spoken communication point of view. Short (one- and two-syllable) feedback signals will be analysed, which represent the examiner’s attitude towards the statement heard. More specifically, the forms are “ja”, “hm_hm” and “hm”, which, depending on the prosodic implementation, may have different interactive functions. The analysis will take into account acoustic-auditive parameters: fundamental frequency/pitch, intensity/volume and duration/length. On this basis, four types of reception signals have

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Lynnyk, Maksym, and Adrian Nakonechnyi. "Integrating images and thermal signals with advanced algorithms." International Science Journal of Engineering & Agriculture 3, no. 3 (2024): 9–20. http://dx.doi.org/10.46299/j.isjea.20240303.02.

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This work considers possible approaches to improving the quality of image signal formation in both light and dark periods of the day, as well as reducing the impact of noise, interference, and artifacts on image signal characteristics. It is proposed to use the wavelet domain for the analysis of thermal and image signals with their subsequent possible complexation. The main features of the formation of such signals are indicated. It is shown that the proposed approach allows to improve the quality characteristics of image signals, especially in the dark period, as well as to ensure their effec

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Hu, Yong, Yan Wang, Chen Wang, Chunyang Cheng, and Fengqi Yao. "Similar texture recognition based on FBG finger-shaped tactile sensors." Measurement Science and Technology 36, no. 3 (2025): 035115. https://doi.org/10.1088/1361-6501/adb6c5.

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Abstract Current tactile perception of surfaces with identical materials and similar textures relies on additional equipment to maintain a constant velocity for sensors, which constrains the practical application of tactile sensing devices in daily life. A finger-shaped tactile sensor leveraging the high sensitivity of Fiber Bragg Grating (FBG) in tactile sensing is proposed in this paper. It is able to distinguish different textures based on the variation amplitude of the central wavelength in FBG. The deployment position of FBG was optimized using COMSOL Multiphysics finite element simulatio

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