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1

Pishravian, Arash, and Masoud Reza Aghabozorgi Sahaf. "Application of independent component analysis for speech–music separation using an efficient score function estimation." Journal of Electrical Engineering 63, no. 6 (2012): 380–85. http://dx.doi.org/10.2478/v10187-012-0056-0.

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In this paper speech-music separation using Blind Source Separation is discussed. The separating algorithm is based on the mutual information minimization where the natural gradient algorithm is used for minimization. In order to do that, score function estimation from observation signals (combination of speech and music) samples is needed. The accuracy and the speed of the mentioned estimation will affect on the quality of the separated signals and the processing time of the algorithm. The score function estimation in the presented algorithm is based on Gaussian mixture based kernel density e
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2

Xiao, Yingchun, Yang Yang, and Feng Zhu. "A Separation Method for Electromagnetic Radiation Sources of the Same Frequency." Journal of Electromagnetic Engineering and Science 23, no. 6 (2023): 521–29. http://dx.doi.org/10.26866/jees.2023.6.r.197.

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To separate electromagnetic interference sources with an unknown source number, a new separation method is proposed, which includes five key steps: spatial spectrum estimation, source number and direction-of-arrival estimation, mixed matrix estimation, separation matrix estimation, and source signal recovery. A pseudospatial spectrum estimation network based on a convolutional neural network is proposed to estimate the number of electromagnetic radiation sources, their direction of arrival, and the mixing matrix. A new loss function is designed as an optimization criterion for estimating the s
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3

Asadi, Haniyeh, Mohammad T. Dastorani, Roy C. Sidle, and Kaka Shahedi. "Improving Flow Discharge-Suspended Sediment Relations: Intelligent Algorithms versus Data Separation." Water 13, no. 24 (2021): 3650. http://dx.doi.org/10.3390/w13243650.

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Information on the transport of fluvial suspended sediment loads (SSL) is crucial due to its effects on water quality, pollutant transport and transformation, dam operations, and reservoir capacity. As such, adopting a reliable method to accurately estimate SSL is a key topic for watershed managers, hydrologists, river engineers, and hydraulic engineers. One of the most common methods for estimating SSL or suspended sediment concentrations (SSC) is sediment rating curve (SRC), which has several weaknesses. Here, we optimize the SRC equation using two main approaches. Firstly, three well recogn
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4

Todorovic-Zarkula, Slavica, Branimir Todorovic, and Miomir Stankovic. "On-line blind separation of non-stationary signals." Yugoslav Journal of Operations Research 15, no. 1 (2005): 79–95. http://dx.doi.org/10.2298/yjor0501079t.

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This paper addresses the problem of blind separation of non-stationary signals. We introduce an on-line separating algorithm for estimation of independent source signals using the assumption of non-stationary of sources. As a separating model, we apply a self-organizing neural network with lateral connections, and define a contrast function based on correlation of the network outputs. A separating algorithm for adaptation of the network weights is derived using the state-space model of the network dynamics, and the extended Kalman filter. Simulation results obtained in blind separation of arti
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5

Yang, Xiao Yan, Xiong Zhou, and Yi Ke Tang. "A New Method for Adaptive Blind Source Separation Based on the Estimated Number of Dynamic Fault Sources." Applied Mechanics and Materials 233 (November 2012): 211–17. http://dx.doi.org/10.4028/www.scientific.net/amm.233.211.

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In fault diagnosis of large rotating machinery, the number of fault sources may be subject to dynamic changes, which often lead to the failure in accurate estimation of the number of sources and the effective isolation of the fault source. This paper introduced the expansion of the fourth-order cumulant matrices in estimating the dynamic fault source number, plus the relationship between the source signal number and the number of sensors being utilized in the selection of the blind source separation algorithm to achieve adaptive blind source separation. Experiments showed that the source numbe
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6

Hasegawa, Yasuhisa, Mayumi Natsui, Chie Abe, Ayumi Ikeda, and Sean-Thomas B. Lundin. "Estimation of CO2 Separation Performances through CHA-Type Zeolite Membranes Using Molecular Simulation." Membranes 13, no. 1 (2023): 60. http://dx.doi.org/10.3390/membranes13010060.

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Chabazite (CHA)-type zeolite membranes are a potential material for CO2 separations because of their small pore aperture, large pore volume, and low aluminum content. In this study, the permeation and separation properties were evaluated using a molecular simulation technique with a focus on improving the CO2 separation performance. The adsorption isotherms of CO2 and CH4 on CHA-type zeolite with Si/Al = 18.2 were predicted by grand canonical Monte Carlo, and the diffusivities in zeolite micropores were simulated by molecular dynamics. The CO2 separation performance of the CHA-type zeolite mem
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7

Reddy, Priyanka J., Vandana Pulhani, Sanjay D. Dhole, Shailesh S. Dahiwale, Sonali P. D. Bhade, and Devendra D. Rao. "Sequential analysis of uranium and plutonium in environmental matrices by extractive liquid scintillation spectrometry." Radiochimica Acta 106, no. 10 (2018): 809–18. http://dx.doi.org/10.1515/ract-2017-2916.

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Abstract A methodology for sequential separation of uranium (U) and plutonium (Pu) followed by their estimation, using extractive liquid scintillation spectrometry was standardized for matrices like soil, fish and sediment. Various parameters for selective and efficient extraction and separation of Pu and U in the presence of interfering matrix elements with HDEHP bis(2-ethylhexy1) phosphoric acid as an extracting agent were investigated. Quenching effect of the various extracting reagents on resolution of α spectrum of analytes and reduction in these interferences is discussed in the current
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8

Lui, Hoi-Shun, and Hon Tat Hui. "Direction-of-Arrival Estimation of Closely Spaced Emitters Using Compact Arrays." International Journal of Antennas and Propagation 2013 (2013): 1–9. http://dx.doi.org/10.1155/2013/104848.

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Performance evaluation of direction-of-arrival (DOA) estimation algorithms has continuously drawn significant attention in the past years. Most previous studies were conducted under the situation that antenna element separation is about half wavelength in order to avoid the appearance of grating lobes. On the other hand, recent developments in wireless communications have favoured the use of portable devices that utilize compact arrays with antenna element separations of less than half wavelength. Performance evaluation of DOA estimation algorithms employing compact arrays is an important and
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9

Yokoi, Masayuki, and Takao Tashiro. "Separating Prescription From Dispensation Medicines: Economic Effect Estimation in Japan." Global Journal of Health Science 10, no. 5 (2018): 88. http://dx.doi.org/10.5539/gjhs.v10n5p88.

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This study examined the effects of the separation between dispensing and prescribing medicines by pharmacists in pharmacies and doctors in medical institutions, respectively (separation system). The methodology avails public national data. The participation of Japanese medical institutions to the separation system was optional according to the legal system. Consequently, its spreading rate for each administrative district is highly variable, allowing us to study its correlation with various medication costs and other factors, such as the generic medicine replacement ratio, proportion of elderl
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10

Li, Chuangjian, Suping Peng, Xiaoqin Cui, Qiannan Liu, and Peng Lin. "Prestack diffraction separation by parameterizing the reflection local slope." GEOPHYSICS 87, no. 2 (2021): S35—S44. http://dx.doi.org/10.1190/geo2021-0321.1.

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Diffracted waves provide an opportunity to detect small-scale subsurface structures because they give wide illumination direction of geologic discontinuities, such as faults, pinch outs, and collapsed columns. However, separating diffracted waves is challenging because diffracted waves have greater geometric amplitude losses and are generally weaker than reflections. To retain more diffracted waves, we have developed a prestack diffraction separation method based on the local slope pattern and plane-wave destruction (PWD) method. In general, it is difficult to distinguish between hyperbolic re
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11

Yang, ZuYuan, BeiHai Tan, GuoXu Zhou, and JinLong Zhang. "Source number estimation and separation algorithms of underdetermined blind separation." Science in China Series F: Information Sciences 51, no. 10 (2008): 1623–32. http://dx.doi.org/10.1007/s11432-008-0138-6.

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12

Marengo, Edwin A., and Paul Berestesky. "Cramér-Rao Bound Study of Multiple Scattering Effects in Target Separation Estimation." International Journal of Antennas and Propagation 2013 (2013): 1–10. http://dx.doi.org/10.1155/2013/572923.

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The information about the distance of separation between two-point targets that is contained in scattering data is explored in the context of the scalar Helmholtz operator via the Fisher information and associated Cramér-Rao bound (CRB) relevant to unbiased target separation estimation. The CRB results are obtained for the exact multiple scattering model and, for reference, also for the single scattering or Born approximation model applicable to weak scatterers. The effects of the sensing configuration and the scattering parameters in target separation estimation are analyzed. Conditions under
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13

Yahya, Iskandar, Arulampalam Kunaraj, Seri Mastura Mustaza, Steven Clowes, and S. Ravi P. Silva. "Methods for Estimating Composition of Single Walled Carbon Nanotubes Based on Electronic Type." Materials Science Forum 1055 (March 4, 2022): 77–86. http://dx.doi.org/10.4028/p-073fwj.

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— Synthesized single-walled carbon nanotubes (SWCNTs) consist of a mixture of chiralities and therefore a post-synthesis separation is essential to separate them based on electronic type i.e., metallic (m-SWCNT) or semiconducting (s-SWCNT) for device applications. A key parameter to measure the effectiveness of separation process is the enrichment composition percentage between m-SWCNT and s-SWCNT, which can be estimated via several methods based on optical characterizations. In this paper, we compare the composition percentage estimations from 3 different methods based on Raman spectroscopy a
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14

Toyoda, Hideki. "Separation of Modeling and Estimation Technique." Kodo Keiryogaku (The Japanese Journal of Behaviormetrics) 39, no. 2 (2012): 39–41. http://dx.doi.org/10.2333/jbhmk.39.39.

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15

Juni, M. Z., M. Singh, and L. T. Maloney. "Robust visual estimation as source separation." Journal of Vision 10, no. 14 (2010): 2. http://dx.doi.org/10.1167/10.14.2.

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16

HE, ZHENYA, LUXI YANG, JU LIU, ZIYI LU, CHEN HE, and YUHUI SHI. "APPROACHES FOR BLIND SEPARATION OF SOURCES BASED ON MULTIVARIATE DENSITY ESTIMATION." Journal of Circuits, Systems and Computers 09, no. 03n04 (1999): 243–53. http://dx.doi.org/10.1142/s0218126699000207.

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A class of learning algorithms is developed for the blind separation of independent source signals from their linear mixtures. The algorithms are based on the Kullback–Leibler distance. A multivariate density estimation technique is used in estimating the probability density function of independent components. Simulations using speech signals and images as sources illustrate the performances of the algorithms.
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17

Hu, Dong, Yuping Huang, Qiang Zhang, Lijian Yao, Zidong Yang, and Tong Sun. "Numerical Simulation on Spatial-Frequency Domain Imaging for Estimating Optical Absorption and Scattering Properties of Two-Layered Horticultural Products." Applied Sciences 11, no. 2 (2021): 617. http://dx.doi.org/10.3390/app11020617.

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Spatial-frequency domain imaging (SFDI) is a wide-field, noncontact, and label-free imaging modality that is currently being explored as a new means for estimating optical absorption and scattering properties of two-layered turbid materials. The accuracy of SFDI for optical property estimation, however, depends on light transfer model and inverse algorithm. This study was therefore aimed at providing theoretical analyses of the diffusion model and inverse algorithm through numerical simulation, so as to evaluate the potential for estimating optical absorption and reduced scattering coefficient
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18

Hu, Dong, Yuping Huang, Qiang Zhang, Lijian Yao, Zidong Yang, and Tong Sun. "Numerical Simulation on Spatial-Frequency Domain Imaging for Estimating Optical Absorption and Scattering Properties of Two-Layered Horticultural Products." Applied Sciences 11, no. 2 (2021): 617. http://dx.doi.org/10.3390/app11020617.

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Abstract (sommario):
Spatial-frequency domain imaging (SFDI) is a wide-field, noncontact, and label-free imaging modality that is currently being explored as a new means for estimating optical absorption and scattering properties of two-layered turbid materials. The accuracy of SFDI for optical property estimation, however, depends on light transfer model and inverse algorithm. This study was therefore aimed at providing theoretical analyses of the diffusion model and inverse algorithm through numerical simulation, so as to evaluate the potential for estimating optical absorption and reduced scattering coefficient
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19

Kumar, R. Suresh, and P. Manimegalai. "Detection and Separation of Eeg Artifacts Using Wavelet Transform." International Journal of Informatics and Communication Technology (IJ-ICT) 7, no. 3 (2018): 149. http://dx.doi.org/10.11591/ijict.v7i3.pp149-156.

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Bio-medical signal processing is one of the most important techniques of multichannel sensor network and it has a substantial concentration in medical application. However, the real-time and recorded signals in multisensory instruments contains different and huge amount of noise, and great work has been completed in developing most favorable structures for estimating the signal source from the noisy signal in multichannel observations. Methods have been developed to obtain the optimal linear estimation of the output signal through the Wide-Sense-Stationary (WSS) process with the help of time-i
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20

R., Suresh Kumar, and P.Manimegalai. "Detection and Separation of Eeg Artifacts Using Wavelet Transform." International Journal of Informatics and Communication Technology (IJ-ICT) 7, no. 3 (2018): 127–34. https://doi.org/10.11591/ijict.v7i3.pp127-134.

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Abstract (sommario):
Bio-medical signal processing is one of the most important techniques of multichannel sensor network and it has a substantial concentration in medical application. However, the real-time and recorded signals in multisensory instruments contains different and huge amount of noise, and great work has been completed in developing most favorable structures for estimating the signal source from the noisy signal in multichannel observations. Methods have been developed to obtain the optimal linear estimation of the output signal through the Wide-Sense-Stationary (WSS) process with the help of time-i
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21

Hassan, Norsalina, and Dzati Athiar Ramli. "Sparse Component Analysis (SCA) Based on Adaptive Time—Frequency Thresholding for Underdetermined Blind Source Separation (UBSS)." Sensors 23, no. 4 (2023): 2060. http://dx.doi.org/10.3390/s23042060.

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Blind source separation (BSS) recovers source signals from observations without knowing the mixing process or source signals. Underdetermined blind source separation (UBSS) occurs when there are fewer mixes than source signals. Sparse component analysis (SCA) is a general UBSS solution that benefits from sparse source signals which consists of (1) mixing matrix estimation and (2) source recovery estimation. The first stage of SCA is crucial, as it will have an impact on the recovery of the source. Single-source points (SSPs) were detected and clustered during the process of mixing matrix estim
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22

Inoue, S., K. Wada, A. Nukui, et al. "Estimation of phase separation rates of PbO–B2O3 melts." Journal of Materials Research 10, no. 6 (1995): 1561–64. http://dx.doi.org/10.1557/jmr.1995.1561.

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The rate of liquid-liquid phase separation was experimentally studied in the PbO-B2O3 system. The in situ measurements were made by observing the melts with a videocamera continuously as the melts were cooled down from homogenization temperatures at a rate of 2.5 °C/min. The time interval between the beginning and the completion of the darkening of the visual field was determined as a measure of the separation rate. The phase-separation rate was estimated to be at least 900 times larger than that of the metastable phase separation below the liquidus.
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23

Muramatsu, Hisayoshi. "Separation and estimation of periodic/aperiodic state." Automatica 140 (June 2022): 110263. http://dx.doi.org/10.1016/j.automatica.2022.110263.

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24

Langkam, Sabita, and Alok Kanti Deb. "Dual estimation approach to blind source separation." IET Signal Processing 11, no. 5 (2017): 527–36. http://dx.doi.org/10.1049/iet-spr.2016.0357.

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25

Polzehl, Jörg, and Vladimir Spokoiny. "Propagation-Separation Approach for Local Likelihood Estimation." Probability Theory and Related Fields 135, no. 3 (2005): 335–62. http://dx.doi.org/10.1007/s00440-005-0464-1.

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26

Zhu, Zhanyu, Xingjie Chen, and Zhaomin Lv. "Underdetermined Blind Source Separation Method Based on a Two-Stage Single-Source Point Screening." Electronics 12, no. 10 (2023): 2185. http://dx.doi.org/10.3390/electronics12102185.

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Underdetermined blind source separation is a signal processing technique that is more suitable for practical applications and aims to separate the source signals from the mixed signals. The mixing matrix estimation is a major step in the underdetermined blind source separation. Since the current methods for estimating the mixing matrix have the disadvantages of insufficient accuracy or weak noise immunity, a two-stage single-source point screening that combines the cosine angle algorithm and the L1-norm optimization algorithm is proposed. During the first stage, the first-stage single-source p
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27

Shang, Yanjie, Yakai Feng, Lipin Ren, et al. "Pupal Age Estimation of Sarcophaga peregrina (Diptera: Sarcophagidae) at Different Constant Temperatures Utilizing ATR-FTIR Spectroscopy and Cuticular Hydrocarbons." Insects 14, no. 2 (2023): 143. http://dx.doi.org/10.3390/insects14020143.

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Sarcophaga peregrina (Robineau-Desvoidy, 1830) (Diptera: Sarcophagidae) is a forensically important flesh fly that has potential value in estimating the PMImin. The precise pupal age estimation has great implications for PMImin estimation. During larval development, the age determination is straightforward by the morphological changes and variation of length and weight, however, the pupal age estimation is more difficult due to anatomical and morphological changes not being visible. Thus, it is necessary to find new techniques and methods that can be implemented by standard experiments for acc
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28

Bukkapatnam, Satish T. S., Soundar R. T. Kumara, and Akhlesh Lakhtakia. "Fractal Estimation of Flank Wear in Turning." Journal of Dynamic Systems, Measurement, and Control 122, no. 1 (1999): 89–94. http://dx.doi.org/10.1115/1.482446.

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A novel fractal estimation methodology, that uses—for the first time in metal cutting literature—fractal properties of machining dynamics for online estimation of cutting tool flank wear, is presented. The fractal dimensions of the attractor of machining dynamics are extracted from a collection of sensor signals using a suite of signal processing methods comprising wavelet representation and signal separation, and are related to the instantaneous flank wear using a recurrent neural network. The performance of the resulting estimator, evaluated using actual experimental data, establishes our me
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Hrytsaka, O. M. "Theoretical researches of threshing and separation processes of bread mass by the threshing-separating device." Mehanization and electrification of agricultural, no. 12 (2020): 60–66. http://dx.doi.org/10.37204/0131-2189-2020-12-7.

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Annotation Purpose. Theoretical researches of increase of efficiency of working processes of threshing, separation of grain mass by combine harvesters by improvement and use of a multi-drum design of the threshing-separating device with rational design and technological parameters of work capable to provide necessary agrotechnical requirements. Methods. In theoretical researches the analysis of interaction of the threshing-separating device with grain mass with use of mathematical modeling of processes of threshing of grain, separation of a rough heap and their estimation is carried out. Resul
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Rasheed, Ashraf Saad, and Ali Saad Ali. "A Study of Retention Behavior and Method Development of Salbutamol Sulfate in Hydrophilic Interaction Chromatography." International Journal of Drug Delivery Technology 10, no. 03 (2020): 344–48. http://dx.doi.org/10.25258/ijddt.10.3.6.

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For chromatographical separation and estimation of salbutamol sulfate, zwitterionic stationary phases with large capacity were obtained by zwitter-molecules attached to a polystyrene-divinylbenzene (PS/DVB) particle. Salbutamol sulfate retention activity was studied with eluent at various pH mobile phase, mobile phase concentrations, and acetonitrile (ACN) percentage. The methods of separation are based on separating the salbutamol sulfate into hydrophobic and cations interactions. Linearity of 0.01 to 0.9 μg.mL-1 for two columns was developed with direct calibration curves, %RSD percent (0.48
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Li, Hui, Xiangxiang Zhu, Yingfei Wang, Xinpeng Cai, and Zhuosheng Zhang. "High-Concentration Time-Frequency Representation and Instantaneous Frequency Estimation of Frequency-Crossing Signals." Sensors 25, no. 7 (2025): 2030. https://doi.org/10.3390/s25072030.

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Frequency-crossing signals are widely found in nature and various engineering systems. Currently, achieving high-resolution time-frequency (TF) representation and accurate instantaneous frequency (IF) estimation for these signals presents a challenge and is a significant area of research. This paper proposes a solution that includes a high-concentration TF representation network and an IF separation and estimation network, designed specifically for analyzing frequency-crossing signals using classical TF analysis and U-net techniques. Through TF data generation, the construction of a U-net, and
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Csóka, Bence, Péter Fiala, and Péter Rucz. "Direction and Distance Estimation of Sound Sources with Microphone Arrays." Infocommunications journal 16, no. 2 (2024): 43–50. http://dx.doi.org/10.36244/icj.2024.2.6.

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This paper is concerned with the estimation of the direction and distance of sound sources with the MUSIC beamforming algorithm, and their tracking with the help of Kalman filter. Direction-of-arrival (DOA) estimations can be performed using a combination of acoustical focusing and beamforming. Distance estimation is usually not part of the process, but it is possible through an extension of the beamforming algorithm. MUSIC (Multiple Signal Classification) is a relatively fast and simple method to locate sound sources. It is based on the separation of the received signals’ cross-spectral matri
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Ding, Y. P., and Y. L. She. "DOA Estimation of Radar Array Signals Based on Blind Source Separation." Journal of Physics: Conference Series 2383, no. 1 (2022): 012074. http://dx.doi.org/10.1088/1742-6596/2383/1/012074.

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Target orientation estimation is the premise to achieve target positioning and tracking. The classical DOA estimation algorithm needs to know the array structure and other informations. When those information cannot be obtained accurately, the performance of the algorithm will be degraded or even invalid. In this paper, a DOA estimation method for array signals based on blind source separation is proposed. The received mixed signals are separated by blind source separation, and the array steering matrix is estimated. Then the signal receiving channel is dimensionally reduced and transformed, a
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Nizhnyk, Vadym, Yurii Feshchuk, and Volodymyr Borovykov. "Methodology of Estimation of Fire Separation Distances between Construction Facilities by Calculation." Materials Science Forum 1006 (August 2020): 93–100. http://dx.doi.org/10.4028/www.scientific.net/msf.1006.93.

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Based on analysis of appropriate literary sources we established that estimation of fire separation distances was based of two criteria: heat flux and temperature. We proposed to use “ignition temperature of materials” as principal criterion when determining fire separation distances between adjacent construction facilities. Based on the results derived while performing complete factorial we created mathematical model to describe trend of changing fire separation distances depending on caloric power of fire load (Q), openings factor of the external enclosing structures (k) and duration of irra
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Nesterenko, Olexandr, Serhii Leshchenko, Olexiy Vasylkovskyi, and Dmytro Petrenko. "Estimation of Uniformity of Distribution and Clogging of Grain at its Multilevel Introduction into the Pneumo-separating Channel." National Interagency Scientific and Technical Collection of Works. Design, Production and Exploitation of Agricultural Machines, no. 51 (2021): 111–16. http://dx.doi.org/10.32515/2414-3820.2021.51.111-116.

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The uniformity of grain distribution in a pneumatic separation channel is an important factor and it significantly affects the quality of grain cleaning. Indeed, with uneven feeding, impurities entering the pneumatic separating channel, to a large extent, are located in the middle or lower layers of grain flow, which impairs the possibility of their release into the settling chamber. Feeders are used to create a more uniform distribution of grain in the operating area of the pneumatic separating channel. They provide conditions under which grain material is fed into the air stream by a thin la
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Eriksen, H. K., C. Dickinson, C. R. Lawrence, et al. "Cosmic Microwave Background Component Separation by Parameter Estimation." Astrophysical Journal 641, no. 2 (2006): 665–82. http://dx.doi.org/10.1086/500499.

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Yu, Runyi, Erhan A. Ince, and Aykut Hocanin. "Subspace Alignment and Separation for Multiple Frequency Estimation." IEEE Signal Processing Letters 22, no. 1 (2015): 16–20. http://dx.doi.org/10.1109/lsp.2014.2346252.

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Donno, D., A. Nehorai, and U. Spagnolini. "Seismic Velocity and Polarization Estimation for Wavefield Separation." IEEE Transactions on Signal Processing 56, no. 10 (2008): 4794–809. http://dx.doi.org/10.1109/tsp.2008.927459.

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Jia, Peng, Hong-Yuan Zhang, and Xi-Zhi Shi. "Blind Source Separation Based on Nonparametric Density Estimation." Circuits, Systems, and Signal Processing 22, no. 1 (2003): 57–67. http://dx.doi.org/10.1007/s00034-004-7013-5.

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Ince, Erhan A., Runyi Yu, and Aykut Hocanin. "Entropy-based subspace separation for multiple frequency estimation." Digital Signal Processing 23, no. 1 (2013): 30–37. http://dx.doi.org/10.1016/j.dsp.2012.09.014.

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41

Cho, Yong G., and Musa R. Kamal. "Estimation of stress for separation of two platelets." Polymer Engineering and Science 44, no. 6 (2004): 1187–95. http://dx.doi.org/10.1002/pen.20112.

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42

Xianci, Xiao. "Single channel signal component separation using Bayesian estimation." Journal of Systems Engineering and Electronics 18, no. 1 (2007): 33–39. http://dx.doi.org/10.1016/s1004-4132(07)60046-2.

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43

Huang, Rong Yau, Li Hsu Yeh, Hao Hsien Chen, et al. "Estimation of Construction Waste Generation and Management in Taiwan." Advanced Materials Research 243-249 (May 2011): 6292–95. http://dx.doi.org/10.4028/www.scientific.net/amr.243-249.6292.

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Abstract (sommario):
This study examines construction waste generation and management in Taiwan. We verify the factors probable affecting the output of construction wastes by using data for the output of declared construction wastes produced from demolition projects in Taiwan in the last year, expert interviews, and research achievements in the past, and find “ on-site separation” is the factor with effects on the output of construction wastes via cross-correlation by algorithms such as K-Means and Decision Tree C5.0. It can be seen that the output (0.092(t/M3) with on-site separation or 0.329(t/M3) without on-sit
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44

Wang, Chunrong, Erdong Xia, Kun-Chieh Wang, and Jing Zhao. "A mixed-copula-based integral method for reliability analysis of a novel multi-functional rescue end-effector." Advances in Mechanical Engineering 15, no. 1 (2023): 168781322211474. http://dx.doi.org/10.1177/16878132221147463.

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To improve the performance of a conventional rescue equipment, we designed a novel multi-functional rescue end-effector comprising a separation mechanism and a grasping mechanism. The failure causes of the separation mechanism are analyzed, and three main failure modes are determined. Meanwhile, their performance functions are established as well. To solve the complex correlations among multiple failure modes, a novel mixed copula function that can capture the upper and lower tail dependencies simultaneously is proposed, which comprises the Gumbel copula and the Clayton copula. Further, a nove
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45

Boccignone, Giuseppe, Alessandro D’Amelio, Omar Ghezzi, Giuliano Grossi, and Raffaella Lanzarotti. "An Evaluation of Non-Contact Photoplethysmography-Based Methods for Remote Respiratory Rate Estimation." Sensors 23, no. 7 (2023): 3387. http://dx.doi.org/10.3390/s23073387.

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Abstract (sommario):
The respiration rate (RR) is one of the physiological signals deserving monitoring for assessing human health and emotional states. However, traditional devices, such as the respiration belt to be worn around the chest, are not always a feasible solution (e.g., telemedicine, device discomfort). Recently, novel approaches have been proposed aiming at estimating RR in a less invasive yet reliable way, requiring the acquisition and processing of contact or remote Photoplethysmography (contact reference and remote-PPG, respectively). The aim of this paper is to address the lack of systematic evalu
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46

Chen, Yong Qiang, and Jun Liu. "Mixing Matrix Estimation in Blind Source Separation Based on Generalized Gaussian Mixture Modal." Advanced Engineering Forum 4 (June 2012): 217–21. http://dx.doi.org/10.4028/www.scientific.net/aef.4.217.

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Abstract (sommario):
The accurate estimation of mixing matrix is critical for blind separation, for solving the problems of traditional methods such as bad robustness and low accuracy, a method based on statistical modal is proposed. The generalized Gaussian mixture modal is used to fit the distribution of single-source-points, a new objective function for clustering is obtained from the view of maximum likelihood estimation. Constrained particle swarm optimization is used to optimize the objective function, by which the mixing matrix is estimated. This method is applicable to determined and underdetermined blind
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47

Compaleo, Jacob, and Inder J. Gupta. "Application of Sparse Representation to Bartlett Spectra for Improved Direction of Arrival Estimation." Sensors 21, no. 1 (2020): 77. http://dx.doi.org/10.3390/s21010077.

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Abstract (sommario):
A new technique for high-resolution direction of arrival estimation is presented. The method utilizes the traditional Bartlett spectra and sparse representation to locate emitters in single and multiple emitter scenarios. A method for selecting the sparse representation regularization parameter is also presented. Using Monte Carlo simulations, we show that the proposed approach achieves accurate direction of arrival (DOA) estimations that are unbiased and a variance that approaches the Cramer–Rao lower bound. We show that our method outperforms the popular MUSIC algorithm, and is slightly bett
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48

Bao, Chen, and Li Xun Cai. "Investigation on Spb Method Based on Nondimensional Load Separation Principle for SEB and CT Specimens." Applied Mechanics and Materials 117-119 (October 2011): 480–88. http://dx.doi.org/10.4028/www.scientific.net/amm.117-119.480.

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In this work, a nondimensional load separation conforming to similarity principle was proposed. Based on this new principle, similarity simulation of the physical phenomenon between the prototype sample and the dimension-changed model sample can be implemented. Then, a modified separation parameter Spbmethod was developed, which can absolutely eliminate the effect of referencing blunt cracked specimen on the instantaneous crack length estimation of the sharp cracked specimen, and the forced blunt-corrected initial crack length and the final crack length are recommended as the calibration point
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49

Sharma, Gaurav. "Per-separation clustered-dot color halftone watermarks: separation estimation based on spatial frequency content." Journal of Electronic Imaging 19, no. 4 (2010): 043007. http://dx.doi.org/10.1117/1.3497615.

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50

Parmentier, B., J. Dooge, and M. Bruen. "Root selection methods in flood analysis." Hydrology and Earth System Sciences 7, no. 2 (2003): 151–61. http://dx.doi.org/10.5194/hess-7-151-2003.

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Abstract (sommario):
Abstract. In the 1970s, de Laine developed a root-matching procedure for estimating unit hydrograph ordinates from estimates of the fast component of the total runoff from multiple storms. Later, Turner produced a root selection method which required only data from one storm event and was based on recognising a pattern typical of unit hydrograph roots. Both methods required direct runoff data, i.e. prior separation of the slow response. This paper introduces a further refinement, called root separation, which allows the estimation of both the unit hydrograph ordinates and the effective precipi
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