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Journal articles on the topic 'Sinusoidal signal and white noise'

Author: Grafiati

Published: 3 June 2025

Last updated: 31 July 2025

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1

Qin, Shaorui, Siyuan Zhou, Taiyun Zhu, et al. "Sinusoidal Noise Removal in PD Measurement Based on Synchrosqueezing Transform and Singular Spectrum Analysis." Energies 14, no. 23 (2021): 7967. http://dx.doi.org/10.3390/en14237967.

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In electrical engineering, partial discharge (PD) measurement has been widely used for inspecting and judging insulation conditions of high voltage (HV) apparatus. However, on-site PD measurement easily becomes contaminated by noises. Particularly, sinusoidal noise makes it difficult to recognize real PD signal, thus leading to the misjudgment of insulation conditions. Therefore, sinusoidal noise removal is necessary. In this paper, instantaneous frequency (IF) is introduced, and the synchrosqueezing transform (SST) as well as singular spectrum analysis (SSA) is proposed for sinusoidal noise r

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Cao, Jiyuan, Yanwen Wang, Weixiong Zhu, and Yihe Zhang. "A Noise Reduction Algorithm for White Noise and Periodic Narrowband Interference Noise in Partial Discharge Signals." Applied Sciences 15, no. 4 (2025): 1760. https://doi.org/10.3390/app15041760.

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Partial discharge (PD) detection plays an important role in online condition monitoring of electrical equipment and power cables. However, the noise of PD measurement will significantly reduce the performance of the detection algorithm. In this paper, we focus on the study of a PD noise reduction algorithm based on improved singular value decomposition (SVD) and multivariate variational mode decomposition (MVMD) for white Gaussian noise (WGN) and periodic narrowband interference signal noise. The specific noise reduction algorithm is divided into three noise reduction processes: The first nois

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Davidovich, Mihail. "Signal to noise output ratio improvement in nonlinear amplifier under the stochastic resonance." Izvestiya VUZ. Applied Nonlinear Dynamics 6, no. 5 (1998): 43–55. http://dx.doi.org/10.18500/0869-6632-1998-6-5-43-55.

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The numerical simulations of nonlinear four—ports under the stochastic resonance are resulted and presented. The wide—band amplification of modulated signals with the noise coefficient in the range 1.5 — 2.0 dB has been shown. The possibility of noise coefficient decreasing in the circuit with several branches having non-identical four—ports has been investigated. The block—scheme for extraction the sinusoidal signal from white noise has been introduced and investigated. The signal has the form of separated sinusoidal series with carrying frequency ω0. The peculiarities of the scheme are the s

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Kannan, Govind, Issa M. S. Panahi, and Richard W. Briggs. "Sequentially Adapted Parallel Feedforward Active Noise Control of Noisy Sinusoidal Signals." Advances in Acoustics and Vibration 2009 (June 24, 2009): 1–13. http://dx.doi.org/10.1155/2009/694290.

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A large class of acoustic noise sources has an underlying periodic process that generates a periodic noise component, and thus their acoustic noise can in general be modeled as the sum of a periodic signal and a randomly fluctuating signal (usually a broadband background noise). Active control of periodic noise (i.e., for a mixture of sinusoids) is more effective than that of random noise. For mixtures of sinusoids in a background broadband random noise, conventional FXLMS-based single filter method does not reach the maximum achievable Noise Attenuation Level (NALmax⁡). In this paper, an alte

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Kowalczyk, Adam, and Anna Szlachta. "Algorithmic Method for Phase Angle Shift of Noisy Voltages Using Conditional Averaging of Delayed Signal's Absolute Value." Metrology and Measurement Systems 18, no. 1 (2011): 137–44. http://dx.doi.org/10.2478/v10178-011-0013-4.

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Algorithmic Method for Phase Angle Shift of Noisy Voltages Using Conditional Averaging of Delayed Signal's Absolute Value The method of a phase shift angle measurement using conditional averaging of delayed signal absolute value (CAAV) is presented in this paper. The input sinusoidal signal x(t) is without noise. White noise with normal distribution and band limited to low frequencies has been applied as disturbance of delayed sinusoidal signal z(t). Noise n(t) - N(0, σn) is added to the delayed signal - the noised and delayed signal z(t) is obtained. The phase angle shift is proportional to t

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Shen, Chen, Yu, Ge, Han, and Duan. "A Direct Current Measurement Method Based on Terbium Gallium Garnet Crystal and a Double Correlation Detection Algorithm." Sensors 19, no. 13 (2019): 2997. http://dx.doi.org/10.3390/s19132997.

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When applying an optical current transformer (OCT) to direct current measurement, output signals exhibit a low signal-to-noise ratio and signal-to-noise band overlap. Sinusoidal wave modulation is used to solve this problem. A double correlation detection algorithm is used to extract the direct current (DC) signal, remove white noise and improve the signal-to-noise ratio. Our sensing unit uses a terbium gallium garnet crystal in order to increase the output signal-to-noise ratio and measurement sensitivity. Measurement errors of single correlation and double correlation detection algorithms ar

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Wang, Guan Ping, Wan Xia Yang, and Sen Yang. "Research on the Transmission Characteristics of FitzHugh-Nagumo Neuron." Applied Mechanics and Materials 596 (July 2014): 413–16. http://dx.doi.org/10.4028/www.scientific.net/amm.596.413.

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The transmission characteristics of a FitzHugh-Nagumo (FHN) model neuron influenced by Gaussian white noise is studied in this work. With a sinusoidal stimulus as input, based on the time-domain analysis to the output , it is found that there are SR phenomenon, and the signal transmission is mainly depends on the noise intensity, the frequency and the amplitude of the external excitation signals. The analysis show that when the input frequency lies in 0.2Hz~0.5Hz and the amplitudeAis around 0.4, suitable noise intensity is conducive to the optimal neuronal signal transmission.

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Kartika, Misriana, and Fitra Permana Putra. "Study of the Effect of Pink Noise, White Noise, Sinusoidal, and Real Audio Signals with MATLAB-based Sound Pressure Level." Andalas Journal of Electrical and Electronic Engineering Technology 5, no. 1 (2025): 31–36. https://doi.org/10.25077/ajeeet.v5i1.128.

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This study presents a comprehensive methodology for measuring Sound Pressure Level (SPL) utilising MATLAB software. Through analysing four distinct categories of audio signals—Pink Noise, White Noise, Sinusoidal, and Real Audio—this research aims to investigate the fundamental acoustic properties associated with each signal type. The SPL measurement process employs specialised MATLAB functions tailored to each specific signal. The results are meticulously analysed to better understand the acoustic responses regarding energy and frequency spectrum. Furthermore, visual representations of the aud

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9

Liu, Jin Chun, Qi Wei He, and Shi Jian Zhu. "Adaptive Detection of Sinusoidal Signal Based on Adaptive Iir Notch Filter." Advanced Materials Research 482-484 (February 2012): 541–45. http://dx.doi.org/10.4028/www.scientific.net/amr.482-484.541.

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Adaptive tracking sinusoidal signals with time-varying frequency buried in white noise presents a great interest in engineering applications. A simple approach of application of adaptive notch filters (ANFs) in recursive identification was presented. The use of adaptive infinite impulse response (IIR) notch filters is exploited to detect the sinusoidal components in noise as far as the two-stage vibration isolation system. Computer simulations and experiments on real signals generated by the two-stage system vibration isolation demonstrate the advantage of this method in terms of estimation va

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ZHANG, LEI, JUN HE, and AIGUO SONG. "STOCHASTIC RESONANCE IN SATURATION NONLINEARITIES BASED ON SIGNAL DETECTION." Fluctuation and Noise Letters 08, no. 02 (2008): L229—L235. http://dx.doi.org/10.1142/s0219477508004416.

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Recently, it was reported that some saturation nonlinearities could effectively act as noise-aided signal-noise-ratio amplifiers. In the letter we consider the signal detection performance of saturation nonlinearities driven by a sinusoidal signal buried in Gaussian white noise. It is showed that the signal detection statistics still undergo a nonmonotonic evolution as noise is raised. We also particularly show that an improvement of the SNR in terms of the first harmonic does not imply the possibility to improve the signal detection performance through stochastic resonance. The study might al

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Zhang, Dong Ling, and Lin Dong Ge. "High-Accuracy Carrier Frequency Offset Estimation for MPSK Signals." Applied Mechanics and Materials 195-196 (August 2012): 599–602. http://dx.doi.org/10.4028/www.scientific.net/amm.195-196.599.

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In this paper a high accuracy estimation algorithm of carrier frequency offset for MPSK signals in Gaussian white noise is proposed. Like the conventional practice, first the algorithm employs nonlinear processing to convert the MPSK signal to single sinusoidal signal, followed by windowed FFT, and then a method based on energy center correction is used to achieve accurate estimation. Simulation results have proved the feasibility,easiness of implementation, and the performance improvements in terms of accuracy and data length needed.

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Narayanan, Gayathri. "A Quartic Polynomial Based Approach for Multi-Sinusoidal Frequency Estimation." International Journal of Electrical and Electronic Engineering & Telecommunications 13, no. 5 (2024): 374–80. http://dx.doi.org/10.18178/ijeetc.13.5.374-380.

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This article presents a quartic polynomial based approach for frequency estimation of multiple real sinusoids in additive white Gaussian noise (AWGN). The estimation of the peak and ensemble of subsequent frequencies in the spectral data is achieved using a simple slope-based approach. The performance of the frequency estimation is studied by computing the estimation error for varying signal-to-noise ratio. The performance is also studied for varying values of signal length and frequency deviation. Simulation studies are presented to establish the validity of the estimation algorithm for multi

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Geimer, Paul R., Luke Beardslee, and Timothy J. Ulrich. "Nonlinear resonant ultrasound spectroscopy using white-noise excitation." Journal of the Acoustical Society of America 154, no. 4_supplement (2023): A67. http://dx.doi.org/10.1121/10.0022818.

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Nonlinear resonant ultrasound spectroscopy (NRUS) is a technique for non-destructive sample evaluation by which a strain-dependent nonlinear parameter is quantified that exhibits heightened sensitivity to defects as compared to monitoring of linear resonance attributes. As NRUS measurements have traditionally used a controlled sweep of sinusoidal inputs, applications of the method have been largely limited to laboratory experiments. Here we present NRUS results which utilized a white noise signal as input, in order to better approximate ambient excitation and facilitate efficient validation us

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Liu, Xueqian, and Hongyi Yu. "Experimental and Analytical Studies on Improved Feedforward ML Estimation Based on LS-SVR." Discrete Dynamics in Nature and Society 2013 (2013): 1–10. http://dx.doi.org/10.1155/2013/192021.

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Maximum likelihood (ML) algorithm is the most common and effective parameter estimation method. However, when dealing with small sample and low signal-to-noise ratio (SNR), threshold effects are resulted and estimation performance degrades greatly. It is proved that support vector machine (SVM) is suitable for small sample. Consequently, we employ the linear relationship between least squares support vector regression (LS-SVR)’s inputs and outputs and regard LS-SVR process as a time-varying linear filter to increase input SNR of received signals and decrease the threshold value of mean square

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15

Liang, Yao, Guanghong Du, Anzong Li, et al. "A signal processing method for continuous mud pressure wave signals in logging-while-drilling systems." Journal of Computational Methods in Sciences and Engineering 23, no. 6 (2023): 3027–35. http://dx.doi.org/10.3233/jcm-226986.

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For signal transmission of mud pressure waves in logging-while-drilling systems, as more measurement parameters are adopted, the conventional signal transmission rate of approximately 1 bps cannot meet the requirements of parameter uploading. Transmission rates greater than 10 bps are widely used by current Chinese and international enterprises in their continuous wave transmission systems. Due to the increasing transmission rates, a conventional single-channel pressure sensor cannot effectively identify the key features of an original signal with a low signal-to-noise ratio at a high transmis

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Goncharov, K. V. "Comparative analysis of modulation and demodulation methods of the control signals of rail line." Science and Transport Progress, no. 42 (December 25, 2012): 12–19. http://dx.doi.org/10.15802/stp2012/9223.

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Introduction: One of the ways of increasing the noise stability rail circuit is the use more informative waveform of control signal. Use in rail circuit modulated signals gives several informative selective traits in relatively narrow spectrum. The study of features of various modulation and demodulation methods with considering operating conditions of rail circuits is urgent. Purpose: the search for more informative forms of rail line control signal, the search for improved methods of signal processing of control current. Methods: For carrying out researches the method of signals decompositio

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17

Li, Wei, Hanzhi Lu, and Yanyan Zuo. "Parallel Array Bistable Stochastic Resonance System with Independent Input and Its Signal-to-Noise Ratio Improvement." Mathematical Problems in Engineering 2014 (2014): 1–14. http://dx.doi.org/10.1155/2014/437843.

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We study the design enhancement of the bistable stochastic resonance (SR) performance on sinusoidal signal and Gaussian white noise. The bistable system is known to show an SR property; however the performance improvement is limited. Our work presents two main contributions: first, we proposed a parallel array bistable system with independent components and averaged output; second, we give a deduction of the output signal-to-noise ratio (SNR) for this system to show the performance. Our examples show the enhancement of the system and how different parameters influence the performance of the pr

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18

Zhou, Shen, and Liu Rongfang. "Efficient and Accurate Frequency Estimator under Low SNR by Phase Unwrapping." Mathematical Problems in Engineering 2019 (April 14, 2019): 1–6. http://dx.doi.org/10.1155/2019/7396074.

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In the case of low signal-to-noise ratio, for the frequency estimation of single-frequency sinusoidal signals with additive white Gaussian noise, the phase unwrapping estimator usually performs poorly. In this paper, an efficient and accurate method is proposed to address this problem. Different from other methods, based on fast Fourier transform, the sampled signals are estimated with the variances approaching the Cramer-Rao bound, followed with the maximum likelihood estimation of the frequency. Experimental results reveal that our estimator has a better performance than other phase unwrappi

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19

Baogang Hu and R. G. Gosine. "A new eigenstructure method for sinusoidal signal retrieval in white noise: estimation and pattern recognition." IEEE Transactions on Signal Processing 45, no. 12 (1997): 3073–83. http://dx.doi.org/10.1109/78.650268.

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20

Massaro, Alessandro. "Artificial Intelligence Enabling Denoising in Passive Electronic Filtering Circuits for Industry 5.0 Machines." Machines 12, no. 8 (2024): 551. http://dx.doi.org/10.3390/machines12080551.

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The paper proposes an innovative model able to predict the output signals of resistance and capacitance (RC) low-pass filters for machine-controlled systems. Specifically, the work is focused on the analysis of the parametric responses in the time- and frequency-domain of the filter output signals, by considering a white generic noise superimposed onto an input sinusoidal signal. The goal is to predict the filter output using a black-box model to support the denoising process by means of a double-stage RC filter. Artificial neural networks (ANNs) and random forest (RF) algorithms are compared

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21

Zhang, Gangbing, Lu Jin, and Defeng (David) Huang. "A dichotomous search-based frequency estimator with generic analytical expression." Modern Physics Letters B 32, no. 34n36 (2018): 1840095. http://dx.doi.org/10.1142/s021798491840095x.

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Fine resolution frequency estimation of a single-tone complex sinusoidal signal in the additive white Gaussian noise is of importance in many fields. In this paper, a generic analytical expression is proposed to refine the residual of a dichotomous search, leading to an estimator with much less iterations than the conventional dichotomous search estimator. Compared with other existing estimators, the proposed estimator has a better trade-off between performance and computational complexity. Simulation results demonstrate that the root-mean-square error (RMSE) of the proposed estimator is close

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22

Inban, Prayuth, Rachu Punchalard, and Chawalit Benjangkaprasert. "Phase Error Criterion Based Adaptive Algorithm for Frequency Estimation." International Journal of Antennas and Propagation 2024 (March 18, 2024): 1–13. http://dx.doi.org/10.1155/2024/9055869.

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A simple phase error criterion (PEC-)-based adaptive algorithm for estimating the frequency of a complex sinusoidal signal in additive white Gaussian and impulsive noises is proposed. The proposed technique makes use of the instantaneous phase response of a first-order complex linear predictor (CLP) as a driving function to update the frequency parameter of the CLP. The proposed PEC is attractive due to its simplicity and high impulsive noise robustness. Theoretical analysis for the mean value of the estimated frequency and the steady-state mean square error (MSE) of the frequency estimate are

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Leib, H., M. Eizenman, S. Pasupathy, and J. Krolik. "Adaptive lattice filter for multiple sinusoids in white noise." IEEE Transactions on Acoustics, Speech, and Signal Processing 35, no. 7 (1987): 1015–23. http://dx.doi.org/10.1109/tassp.1987.1165227.

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Nishiyama, K. "A nonlinear filter for estimating a sinusoidal signal and its parameters in white noise: on the case of a single sinusoid." IEEE Transactions on Signal Processing 45, no. 4 (1997): 970–81. http://dx.doi.org/10.1109/78.564185.

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Pomante, A., L. P. J. Selen, and W. P. Medendorp. "Perception of the dynamic visual vertical during sinusoidal linear motion." Journal of Neurophysiology 118, no. 4 (2017): 2499–506. http://dx.doi.org/10.1152/jn.00439.2017.

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The vestibular system provides information for spatial orientation. However, this information is ambiguous: because the otoliths sense the gravitoinertial force, they cannot distinguish gravitational and inertial components. As a consequence, prolonged linear acceleration of the head can be interpreted as tilt, referred to as the somatogravic effect. Previous modeling work suggests that the brain disambiguates the otolith signal according to the rules of Bayesian inference, combining noisy canal cues with the a priori assumption that prolonged linear accelerations are unlikely. Within this mod

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Andò, Bruno, Salvatore Baglio, Adi R. Bulsara, and Vincenzo Marletta. "Toward a Self-Powered Vibration Sensor: The Signal Processing Strategy." Energies 14, no. 3 (2021): 754. http://dx.doi.org/10.3390/en14030754.

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This paper, for the first time, investigates the possibility of exploiting a nonlinear bistable snap-through buckling structure employing piezoelectric transducers, to implement an autonomous sensor of mechanical vibrations, with an embedded energy harvesting functionality. The device is operated in the presence of noisy vibrations superimposed on a subthreshold deterministic (sinusoidal) input signal. While the capability of the device to harvest a significant amount of energy has been demonstrated in previous works, here, we focus on the signal processing methodology aimed to extract from th

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NISHIYAMA, Kiyoshi, and Osamu SATOU. "A Consideration on a Nonlinear Filter for Estimating a Sinusoidal Signal and Its Parameters in White Noise." Transactions of the Society of Instrument and Control Engineers 30, no. 10 (1994): 1178–87. http://dx.doi.org/10.9746/sicetr1965.30.1178.

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Gupta, Varun, Gavendra Singh, Rohit Sharma, and Sharvan Kumar Pahuja. "Artifact Removal from ECG Signal Using Notch Filter for Developing Countries." Advanced Materials Research 403-408 (November 2011): 120–26. http://dx.doi.org/10.4028/www.scientific.net/amr.403-408.120.

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In an increasingly noisy society, methods of reducing noise are becoming more important. Filtering has the great importance in the field of the biomedical signal processing. In many applications of signal processing it is desired to remove sinusoidal interferences while leaving the broadband signal unchanged. Examples are in the areas of communication, control, biomedical engineering and others. A typical one is to cancel 60 Hz power line interference in the recording of electrocardiogram (ECG). Usually this task can be achieved by the notch filters characterized by a unit gain at all frequenc

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Arce-Guevara, Valdemar E., Alfonso Alba-Cadena, and Martín O. Mendez. "Study of quadrature FIR filters for extraction of low-frequency instantaneous information in biophysical signals." International Journal of Modern Physics C 28, no. 05 (2017): 1750065. http://dx.doi.org/10.1142/s0129183117500656.

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Quadrature bandpass filters take a real-valued signal and output an analytic signal from which the instantaneous amplitude and phase can be computed. For this reason, they represent a useful tool to extract time-varying, narrow-band information from electrophysiological signals such as electroencephalogram (EEG) or electrocardiogram. One of the defining characteristics of quadrature filters is its null response to negative frequencies. However, when the frequency band of interest is close to 0 Hz, a careless filter design could let through negative frequencies, producing distortions in the amp

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Liu, Yang, Jigou Liu, and Ralph Kennel. "Frequency Measurement Method of Signals with Low Signal-to-Noise-Ratio Using Cross-Correlation." Machines 9, no. 6 (2021): 123. http://dx.doi.org/10.3390/machines9060123.

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Precise frequency measurement plays an essential role in many industrial and robotic systems. However, different effects in the application’s environment cause signal noises, which make frequency measurement more difficult. In small signals or rough environments, even negative Signal-to-Noise Ratios (SNRs) are possible. Thus, frequency measuring methods, which are suited for low SNR signals, are in great demand. While denoising methods such as autocorrelation do not suffice for small signal with low SNR, frequency measurement methods such as Fast-Fourier Transformation or Continuous Wavelet Tr

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Cevri, Mehmet, and Dursun Üstündag. "Performance Analysis of Gibbs Sampling for Bayesian Extracting Sinusoids." International Journal of Mathematical Models and Methods in Applied Sciences 15 (November 23, 2021): 148–54. http://dx.doi.org/10.46300/9101.2021.15.19.

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This paper involves problems of estimating parameters of sinusoids from white noisy data by using Gibbs sampling (GS) in a Bayesian framework. Modifications of its algorithm is tested on data generated from synthetic signals and its performance is compared with conventional estimators such as Maximum Likelihood(ML) and Discrete Fourier Transform (DFT) under a variety of signal to noise ratio (SNR) and different length of data sampling (N), regarding to Cramér-Rao lower bound (CRLB). All simulation results show its effectiveness in frequency and amplitude estimation of sinusoids.

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Lebl, Aleksandar, Mladen Mileusnić, and Jovan Radivojević. "Combined and comb RCIED activation messages jamming: Two different strategies with similar names." Scientific Technical Review 70, no. 1 (2020): 21–28. http://dx.doi.org/10.5937/str2001021l.

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The characteristics of combined and comb jamming of RCIED activation messages are presented in this paper. Combined jamming signal is formed as the sum of swept sinusoidal signal and noise signal, while comb jamming signal means that its spectrum has a number of simultaneous discrete equally distant sinusoidal components, eventually further swept. The performances of combined jamming are compared to pure sweep and pure barrage jamming. They are determined on the base of originally developed simulation program implementation. Comb jamming is analyzed based on its generation from rectangular pul

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Bazhenov, N. R., A. M. Barekhov, and O. V. Kaminsky. "Phase noise calibrator." Izmeritel`naya Tekhnika 73, no. 12 (2025): 39–45. https://doi.org/10.32446/0368-1025it.2024-12-39-45.

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The necessity of developing of an initial relative phase noise level standard to ensure metrological traceability of small values of phase noise measurements. The relevance of creating a standard is due to the increased requirements for short-term frequency stability of modern signal generators and highly stable quartz oscillators, characterized by a relative level of phase noise. At the same time, according to existing verification methods, the phase noise measurement error is determined by the method of sinusoidal phase modulation, which does not provide a range of small values of phase nois

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del Ser, D., O. Fors, and J. Núñez. "TFAW: Wavelet-based signal reconstruction to reduce photometric noise in time-domain surveys." Astronomy & Astrophysics 619 (November 2018): A86. http://dx.doi.org/10.1051/0004-6361/201730671.

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Context. There have been many efforts to correct systematic effects in astronomical light curves to improve the detection and characterization of planetary transits and astrophysical variability. Algorithms such as the trend filtering algorithm (TFA) use simultaneously-observed stars to measure and remove systematic effects, and binning is used to reduce high-frequency random noise. Aims. We present TFAW, a wavelet-based modified version of TFA. First, TFAW aims to increase the periodic signal detection and second, to return a detrended and denoised signal without modifying its intrinsic chara

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Varnet, Léo, and Christian Lorenzi. "Probing temporal modulation detection in white noise using intrinsic envelope fluctuations: A reverse-correlation study." Journal of the Acoustical Society of America 151, no. 2 (2022): 1353–66. http://dx.doi.org/10.1121/10.0009629.

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Part of the detrimental effect caused by a stationary noise on sound perception results from the masking of relevant amplitude modulations (AM) in the signal by random intrinsic envelope fluctuations arising from the filtering of noise by cochlear channels. This study capitalizes on this phenomenon to probe AM detection strategies for human listeners using a reverse correlation analysis. Eight normal-hearing listeners were asked to detect the presence of a 4-Hz sinusoidal AM target applied to a 1-kHz tone carrier using a yes-no task with 3000 trials/participant. All stimuli were embedded in a

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Fan, Lei, Yongjun Wang, Hongxin Zhang, Chao Li, and Xiangjun Xin. "High-Accuracy 3D Contour Measurement by Using the Quaternion Wavelet Transform Image Denoising Technique." Electronics 11, no. 12 (2022): 1807. http://dx.doi.org/10.3390/electronics11121807.

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In this paper, we propose an image denoising algorithm based on the quaternion wavelet transform (QWT) to address sinusoidal fringe images under strong noise in structured light 3D profilometry. The analysis of a quaternion wavelet shows that the amplitude image of the quaternion wavelet is easily affected by noise. However, the three phase images, which mainly reflect edge and texture information, are randomly and disorderly distributed with respect to noise. The QWT denoising algorithm is suitable for processing sinusoidal fringe images of complex structures in a high-accuracy 3D measurement

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Redondo-Plaza, Alberto, Amy Zulema Velasco-Bonilla, José Ignacio Morales-Aragones, Ángel L. Zorita-Lamadrid, Víctor Alonso-Gómez, and Luis Hernández-Callejo. "Electroluminescence Imaging Based on FFT Analysis for Outdoor Photovoltaic Module Inspection: A Self-Powered Signal Modulation Approach." Applied Sciences 15, no. 9 (2025): 4606. https://doi.org/10.3390/app15094606.

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Electroluminescence imaging is increasingly used in photovoltaic power plant inspections due to its effectiveness in detecting various types of failures in solar cells. This article presents a novel technique that enables the modulation of an arbitrary electroluminescence signal in PV modules using an electronic device that controls the signal by modulating an arbitrary current waveform in a photovoltaic module, utilizing the string current as its energy source. As a result, measurements do not require a power supply and can be performed during the normal operation of a PV string. Throughout t

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Fern, Chin Kui, Chai Chang Yii, Asfarina Abu Bakar, et al. "Fault localization on power cables using time delay estimation of partial discharge signals." International Journal of Electrical and Computer Engineering (IJECE) 13, no. 6 (2023): 6000. http://dx.doi.org/10.11591/ijece.v13i6.pp6000-6015.

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Precise localization of partial discharge (PD) sources on power cables is vital to prevent power line failures that can lead to significant economic losses for electrical suppliers. This study proposes four methods to estimate the time delay of PD signals under electromagnetic interference, including white Gaussian noise (WGN) and discrete sinusoidal interference (DSI), using denoised PD signals with signal-to-noise ratios ranging from 10.6 to -7.02 dB. The maximum peak detection (MPD) and cross-correlation (CC) approaches, as well as two new techniques, interpolation cross-correlation (ICC) a

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Chin, Kui Fern, Chang Yii Chai, Abu Bakar Abu Bakar Asfarina, et al. "Fault localization on power cables using time delay estimation of partial discharge signals." International Journal of Electrical and Computer Engineering (IJECE) 13, no. 6 (2023): 6000–6015. https://doi.org/10.11591/ijece.v13i6.pp6000-6015.

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Precise localization of partial discharge (PD) sources on power cables is vital to prevent power line failures that can lead to significant economic losses for electrical suppliers. This study proposes four methods to estimate the time delay of PD signals under electromagnetic interference, including white Gaussian noise (WGN) and discrete sinusoidal interference (DSI), using denoised PD signals with signal-to-noise ratios ranging from 10.6 to -7.02 dB. The maximum peak detection (MPD) and cross-correlation (CC) approaches, as well as two new techniques, interpolation cross-correlation (ICC) a

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Saber, Mohamed, and El-sayed M.El-Kenawy. "Design and implementation of accurate frequency estimator depend on deep learning." International Journal of Engineering & Technology 9, no. 2 (2020): 367. http://dx.doi.org/10.14419/ijet.v9i2.30473.

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An Accurate, efficient, and stable system to estimate the unknown input frequency of a sinusoidal signal is presented. The proposed design solves the main drawback of the existing phase-based estimator which called a derivative estimator depend on deep learning. These limitations are the inability to estimate low frequencies and the large estimation errors for the frequencies near the Nyquist rate. A Brief mathematical analysis in discrete-time of the proposed system is presented. Proposed estimator performance when the input is a single sinusoid, multiple sinusoids in the presence of additive

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Sakai, H. M., and K. Naka. "Dissection of the neuron network in the catfish inner retina. I. Transmission to ganglion cells." Journal of Neurophysiology 60, no. 5 (1988): 1549–67. http://dx.doi.org/10.1152/jn.1988.60.5.1549.

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1. To characterize the signal transmission from amacrine to ganglion cells, and to identify the filter that transforms amacrine-cell responses into ganglion-cell spike discharges, an extrinsic current, either sinusoidally or white-noise modulated, was injected into an amacrine cell and the resulting extracellular spike discharges were recorded from a neighboring ganglion cell. For the sinusoidal inputs, PST (poststimulus time) histograms were produced; for the white-noise inputs, first- and second-order Wiener kernels were computed by a cross-correlation process. 2. Extrinsic current injected

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Razzaq, Huda Saleem, та Zahir M. Hussain. "Instantaneous Frequency Estimation of FM Signals under Gaussian and Symmetric α-Stable Noise: Deep Learning versus Time–Frequency Analysis". Information 14, № 1 (2022): 18. http://dx.doi.org/10.3390/info14010018.

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Deep learning (DL) and machine learning (ML) are widely used in many fields but rarely used in the frequency estimation (FE) and slope estimation (SE) of signals. Frequency and slope estimation for frequency-modulated (FM) and single-tone sinusoidal signals are essential in various applications, such as wireless communications, sound navigation and ranging (SONAR), and radio detection and ranging (RADAR) measurements. This work proposed a novel frequency estimation technique for instantaneous linear FM (LFM) sinusoidal wave using deep learning. Deep neural networks (DNN) and convolutional neur

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Tsibulis, Dmitry E., Andrey N. Ragozin, Stanislav N. Darovskikh, and Askar Z. Kulganatov. "Study of nonlinear digital filtering of signals using generative competitive neural network." Bulletin of the South Ural State University. Ser. Computer Technologies, Automatic Control & Radioelectronics 22, no. 2 (2022): 158–67. http://dx.doi.org/10.14529/ctcr220215.

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The article presents the results of the study, as well as the structural schemes and parameters of the components of the generative-adversarial neural network. Graphical images of the results of filtering radio signals are given. Conclusions are drawn about the possibilities of using these neural networks. The purpose of the study. Substantiation of the possibilities of using generative-sensory artificial neural networks to solve problems of digital processing of radio signals. Materials and methods. To evaluate the results of digital filtering of noisy signals, the method of mathematical mode

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Prakash, Rahul, and Dharmendra Kumar Dheer. "Vehicle state estimation using a maximum likelihood based robust adaptive extended kalman filter considering unknown white Gaussian process and measurement noise signal." Engineering Research Express 5, no. 2 (2023): 025066. http://dx.doi.org/10.1088/2631-8695/acd73e.

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Abstract The stochastic nature of noise signals affects the vehicle’s internal states and the outputs, resulting in the difficulty in estimation. The unknown or time-varying nature of noise signals if not taken into account for estimation, the results will diverge and be highly deteriorated. In this paper, a maximum likelihood principle (MLP) based adaptive robust extended kalman filter for estimating the states of the adopted non-linear vehicle model is proposed. An observability test is done for the purpose of estimation. A covariance matching (CM) based robust adaptive high forgetting facto

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Soumyendu, Banerjee, Das Dibyajyoti, Ghosh Debayan, and Bhadra Sanjay. "Arduino Uno and Bluetooth based Speed Control of DC Stepper Motor with Reduced Jerking Level." International Journal of Innovative Science and Research Technology 7, no. 9 (2022): 596–99. https://doi.org/10.5281/zenodo.7127388.

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This work suggests controlling the speed of a stepper motor using an Arduino Uno. The HC-05 Bluetooth module and an Android application were used to implant the control scheme, providing the stepper motor with wireless control. The main goal of this study, along with speed control, was to lessen the stepper motor's jerking while changing each step. The stepper motor's jerking is a serious issue since it occasionally prevents the desired step count from being reached and makes noise while the motor is running. The jerking intensity was therefore reduced in this work by using a sinusoida

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Pradhan, N., and P. K. Sadasivan. "Validity of Dimensional Complexity Measures of EEG Signals." International Journal of Bifurcation and Chaos 07, no. 01 (1997): 173–86. http://dx.doi.org/10.1142/s021812749700011x.

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The measure of dimensional complexity has the potential for feature extraction, modeling and prediction of EEG signals. However, the nonlinear dynamics of neuronal processes is under criticism that EEG signals may have a simpler stochastic description and chaotic dynamical measures of EEG may be spurious or unnecessary. Surrogate-data testing has been propounded to detect nonlinearity and chaos in experimental time series and to differentiate it from linear stochastic processes or colored noises. The surrogate data tests of brain signals (EEG) have produced equivocal results. Therefore, we exa

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Yani, Kalfika, Koredianto Usman, and Fiky Y. Suratman. "Robust Modified MVDR Scheme Using Chirp Signal for Direction of Arrival Estimation." Journal of Measurements, Electronics, Communications, and Systems 6, no. 1 (2020): 34. http://dx.doi.org/10.25124/jmecs.v6i1.2630.

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This research is about an effort to increase the robustness of the Minimum Variance Distortionless Response (MVDR) algorithm to noise by using a chirp signal for direction of arrival estimation (DoA). DoA is a part of radar capability to estimate the angle of arrival on the object under observation. The conventional MVDR as proposed by J. Capon, was designed to work with the monochromatic sinusoidal signal. Even though the conventional MVDR work on low SNR up to 0 dB, however, the conventional method does not work well if chirp signal is used instead of monochromatic sinusoidal signal. The usa

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Kliger, M., and J. M. Francos. "MAP model order selection rule for 2-D sinusoids in white noise." IEEE Transactions on Signal Processing 53, no. 7 (2005): 2563–75. http://dx.doi.org/10.1109/tsp.2005.849203.

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Lorenzi, Christian, Christophe Micheyl, Frédéric Berthommier, and Serge Portalier. "Modulation Masking in Listeners With Sensorineural Hearing Loss." Journal of Speech, Language, and Hearing Research 40, no. 1 (1997): 200–207. http://dx.doi.org/10.1044/jslhr.4001.200.

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This study compares amplitude-modulation (AM) masking in listeners with normal hearing and in listeners with a hearing loss. To address this issue, we measured the detection of sinusoidal AM applied to a white noise carrier, as a function of the frequency of a masking sinusoidal AM applied to the same noise carrier. These input filter patterns were measured for four listeners with normal hearing and three listeners with moderate or mild-to-severe sensorineural hearing losses. Stimuli were presented at 50 dB SL for all listeners with normal hearing and for two of the three listeners with hearin

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Ye, Yumei, Jingang Zhang, Qiang Yang, Songhe Meng, and Jun Wang. "Complete ensemble empirical mode decomposition with adaptive noise for dynamic response reconstruction of spacecraft structures under random vibration." Insight - Non-Destructive Testing and Condition Monitoring 65, no. 12 (2023): 666–74. http://dx.doi.org/10.1784/insi.2023.65.12.666.

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The dynamic responses of key regions are critical inputs for the structural life estimation of spacecraft. Response reconstruction methods are needed for structural locations where sensors are not placed due to resource limitations. In this paper, a reconstruction method based on complete ensemble empirical mode decomposition with adaptive noise (CEEMDAN) is proposed. CEEMDAN can eliminate the mode-mixing phenomenon of traditional empirical mode decomposition (EMD) during signal decompositions to improve the reconstruction accuracy. The proposed method is applied to the reconstruction of accel

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