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Journal articles on the topic 'Multicomponent phase signals'

Author: Grafiati

Published: 4 June 2021

Last updated: 26 January 2023

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1

Tang, Peng Fei, Bin Yuan, Qian Qiang Lin, and Zeng Ping Chen. "Parameter Estimation of Multicomponent Cubic Phase Signals." Applied Mechanics and Materials 380-384 (August 2013): 3726–29. http://dx.doi.org/10.4028/www.scientific.net/amm.380-384.3726.

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This paper presents an algorithm for estimating the parameters of multicomponent cubic phase signals. This algorithm combines the product generalized cubic phase function (PGCPF) and the product cubic phase function (PCPF) which are used to estimate the cubic phase coefficient and chirp rate of the cubic phase signal, respectively. This algorithm starts by estimating the parameters of the signal component with the strongest amplitude. Then removing the signal component whose parameters have been estimated, it proceeds to estimate the next signal component, and so on, until all of the signal co

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2

Pham, Duc Son, and Abdelhak M. Zoubir. "Analysis of Multicomponent Polynomial Phase Signals." IEEE Transactions on Signal Processing 55, no. 1 (2007): 56–65. http://dx.doi.org/10.1109/tsp.2006.882085.

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3

Friedlander, B., and J. M. Francos. "Estimation of amplitude and phase parameters of multicomponent signals." IEEE Transactions on Signal Processing 43, no. 4 (1995): 917–26. http://dx.doi.org/10.1109/78.376844.

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4

Ikram, Muhammad Z., and G. Tong Zhou. "Estimation of multicomponent polynomial phase signals of mixed orders." Signal Processing 81, no. 11 (2001): 2293–308. http://dx.doi.org/10.1016/s0165-1684(01)00095-0.

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5

Duc Son Pham and A. M. Zoubir. "Estimation of Multicomponent Polynomial Phase Signals With Missing Observations." IEEE Transactions on Signal Processing 56, no. 4 (2008): 1710–15. http://dx.doi.org/10.1109/tsp.2007.909345.

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6

Wang, Yong, and Yi-cheng Jiang. "Generalized time–frequency distributions for multicomponent polynomial phase signals." Signal Processing 88, no. 4 (2008): 984–1001. http://dx.doi.org/10.1016/j.sigpro.2007.10.016.

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7

Wang, Pu, and Jianyu Yang. "Multicomponent chirp signals analysis using product cubic phase function." Digital Signal Processing 16, no. 6 (2006): 654–69. http://dx.doi.org/10.1016/j.dsp.2006.09.002.

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8

Liu, Jing-Liang, Jin-Yang Zheng, Xiao-Jun Wei, Fei-Yu Liao, and Yong-Peng Luo. "A new instantaneous frequency extraction method for nonstationary response signals in civil engineering structures." Journal of Low Frequency Noise, Vibration and Active Control 37, no. 4 (2018): 834–48. http://dx.doi.org/10.1177/1461348418790534.

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Civil engineering structures in essence belong to time-varying and nonlinear structures and the resultant dynamic responses are usually nonstationary signals. A new method is proposed to extract instantaneous frequency of such nonstationary signals. The new method combines the extended analytical mode decomposition, normalization scheme, and improved arccosine function algorithm. In this method, a multicomponent response signal is first decomposed into several mono-components signals by the extended analytical mode decomposition theorem, and then the extracted mono-components are demodulated i

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Bratchenko, H. D., М. O. Koptielov, H. H. Smahliuk, and M. A. Martynov. "ACCURACY ESTIMATION OF MEASURING THE INSTANTANEOUS FREQUENCIES AND PHASES OF COMPONENTS OF THE MULTICOMPONENT NON-STATIONARY SIGNAL." Key title: Zbìrnik naukovih pracʹ Odesʹkoï deržavnoï akademìï tehnìčnogo regulûvannâ ta âkostì, no. 2(19) (2021): 48–62. http://dx.doi.org/10.32684/2412-5288-2021-2-19-48-62.

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Measurements of instantaneous frequencies and phases of non-stationary components of the multicomponent signals are actual in processing medical, radar, sonar, seismic, vibration, and speech signals. When we measure the parameters of multi-component non-stationary signals, it is a need to measure the instantaneous frequency and current phase of several non-stationary frequency-modulated signal components. In this article, estimates of the measurement accuracy of the specified parameters of the non-stationary signal components were obtained using the method of simulation modeling. Measurement m

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10

OU, GuoJian, ShiZhong YANG, JianXun DENG, QingPing JIANG, and TianQi ZHANG. "A Refined Estimator of Multicomponent Third-Order Polynomial Phase Signals." IEICE Transactions on Communications E99.B, no. 1 (2016): 143–51. http://dx.doi.org/10.1587/transcom.2015ebp3131.

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11

Giannakis, Georgios B., and Sergio Barbarossa. "Multilag high‐order ambiguity function for multicomponent polynomial phase signals." Journal of the Acoustical Society of America 98, no. 5 (1995): 2951. http://dx.doi.org/10.1121/1.414093.

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12

Tang, Peng Fei, Qian Qiang Lin, Bin Yuan, and Zeng Ping Chen. "An Improved Algorithm for Estimating the Parameters of Polynomial-Phase Signals." Applied Mechanics and Materials 380-384 (August 2013): 1350–53. http://dx.doi.org/10.4028/www.scientific.net/amm.380-384.1350.

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This paper presents an algorithm for estimating the parameters of polynomial-phase signals (PPSs). This algorithm combines the CPF-HAF method and Radon transform, and can be referred to as the Radon-CPF-HAF method. In the proposed algorithm, the HAF is first applied on the original PPS to produce a cubic phase signal, whose parameters are then estimated by the Radon transform of the cubic phase function for the derived cubic phase signal. As involving in lower order nonlinearity, the proposed algorithm outperforms the HAF in terms of the accuracy and signal-to-noise-ratio (SNR) threshold. When

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13

Summers, Van, Egbert de Boer, and Alfred L. Nuttall. "Basilar-membrane responses to multicomponent (Schroeder-phase) signals: Understanding intensity effects." Journal of the Acoustical Society of America 114, no. 1 (2003): 294–306. http://dx.doi.org/10.1121/1.1580813.

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14

Daneshvar, Milad, Naser Parhizgar, and Homayoon Oraizi. "Design and implementation of the subsystem subject to emission of multicomponent high-frequency signals to ensure its reliability." International Journal of Electrical and Computer Engineering (IJECE) 9, no. 5 (2019): 4204. http://dx.doi.org/10.11591/ijece.v9i5.pp4204-4216.

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Telecommunication systems, especially digital ones, are mostly known to be immune to noise given their extensive range of applications. This study aimed to investigate the methods and tools used for the analysis of multicomponent signals input to high-frequency digital subsystems, including the analysis of changes in its electrical behavior. This research mainly focuses on analyzing a high-frequency telecommunication subsystem, recording the results, investigating the system behavior against signals with different amplitudes and phases, detecting the received signals, and measuring the phase d

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15

Djurović, Igor, Marko Simeunović, and Vladimir V. Lukin. "Estimating DOA and PPS parameters of signal received by ULA in heavy noise environment." Journal of Electrical Engineering 71, no. 3 (2020): 175–84. http://dx.doi.org/10.2478/jee-2020-0024.

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AbstractEstimation of the direction-of-arrival (DOA) and parameters of polynomial phase signal (PPS) impinging on the uniform linear array (ULA) of sensors in heavy-tailed noise environments is considered in this paper. To estimate signal parameters, a recently proposed quasi maximum-likelihood (QML) estimator is adopted. The proposed algorithm consists of two successive steps: (1) noise influence mitigation by using the proposed normalization strategy and (2) signal parameters estimation using the DOA-QML approach. The algorithm performance is evaluated for both monocomponent and multicompone

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16

Francos, J. M., and B. Friedlander. "Bounds for estimation of multicomponent signals with random amplitude and deterministic phase." IEEE Transactions on Signal Processing 43, no. 5 (1995): 1161–72. http://dx.doi.org/10.1109/78.382401.

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17

Djurović, I., C. Ioana, T. Thayaparan, et al. "Cubic-phase function evaluation for multicomponent signals with application to SAR imaging." IET Signal Processing 4, no. 4 (2010): 371. http://dx.doi.org/10.1049/iet-spr.2009.0065.

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18

Liping Zhang and Yingning Peng. "Outlier probability of generalized chirpogram-based estimators for multicomponent polynomial-phase signals." IEEE Transactions on Signal Processing 53, no. 2 (2005): 576–88. http://dx.doi.org/10.1109/tsp.2004.840775.

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19

Ikram, Muhammad Z., K. Abed-Meraim, and Yingbo Hua. "Fast Quadratic Phase Transform for Estimating the Parameters of Multicomponent Chirp Signals." Digital Signal Processing 7, no. 2 (1997): 127–35. http://dx.doi.org/10.1006/dspr.1997.0286.

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20

Gribler, Gabriel, and T. Dylan Mikesell. "Methods to isolate retrograde and prograde Rayleigh-wave signals." Geophysical Journal International 219, no. 2 (2019): 975–94. http://dx.doi.org/10.1093/gji/ggz341.

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SUMMARY Estimating shear wave velocity with depth from Rayleigh-wave dispersion data is limited by the accuracy of fundamental and higher mode identification and characterization. In many cases, the fundamental mode signal propagates exclusively in retrograde motion, while higher modes propagate in prograde motion. It has previously been shown that differences in particle motion can be identified with multicomponent recordings and used to separate prograde from retrograde signals. Here we explore the domain of existence of prograde motion of the fundamental mode, arising from a combination of

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21

Ou, Guojian, Yunbing Hu, and Chunling Wu. "A refined PCPF algorithm for estimating the parameters of multicomponent polynomial-phase signals." Multidimensional Systems and Signal Processing 31, no. 4 (2020): 1531–52. http://dx.doi.org/10.1007/s11045-020-00719-y.

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22

Cheng, Hao, Deguo Zeng, Jun Zhu, and Bin Tang. "MAXIMUM LIKELIHOOD ESTIMATION OF CO-CHANNEL MULTICOMPONENT POLYNOMIAL PHASE SIGNALS USING IMPORTANCE SAMPLING." Progress In Electromagnetics Research C 23 (2011): 111–22. http://dx.doi.org/10.2528/pierc11062010.

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23

Simeunovic, Marko, and Igor Djurovic. "Parameter Estimation of Multicomponent 2D Polynomial-Phase Signals Using the 2D PHAF-Based Approach." IEEE Transactions on Signal Processing 64, no. 3 (2016): 771–82. http://dx.doi.org/10.1109/tsp.2015.2491887.

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24

René, R. M., J. L. ,. Fitter, P. M. Forsyth, et al. "Multicomponent seismic studies using complex trace analysis." GEOPHYSICS 51, no. 6 (1986): 1235–51. http://dx.doi.org/10.1190/1.1442177.

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The methods of complex signal analysis are applicable to multicomponent trace is defined by real orthogonal components derived by applying the Hilbert transform to the real components. Polarization attributes, including the instantaneous phase difference, signed reciprocal ellipiticity, tilt angle, and rise angle, can be displayed in trace format or in radial time-attribute plots. Polarization attributes are readily interpreted despite the non‐stationary character of seismic signals. Average attributes are defined by weighting with the geometric mean of instantaneous amplitudes. Multicomponent

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25

Adjrad, Mounir, and Adel Belouchrani. "Estimation of Multicomponent Polynomial-Phase Signals Impinging on a Multisensor Array Using State–Space Modeling." IEEE Transactions on Signal Processing 55, no. 1 (2007): 32–45. http://dx.doi.org/10.1109/tsp.2006.882055.

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26

Sivavaraprasad, G., D. Venkata Ratnam, and Yuichi Otsuka. "Multicomponent Analysis of Ionospheric Scintillation Effects Using the Synchrosqueezing Technique for Monitoring and Mitigating their Impact on GNSS Signals." Journal of Navigation 72, no. 3 (2018): 669–84. http://dx.doi.org/10.1017/s0373463318000929.

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Ionospheric scintillation effects degrade satellite-based radio communication/navigation links and influence the performance of Global Navigation Satellite Systems (GNSS). An adaptive wavelet-based decomposition technique, Synchrosqueezing Transform (SST), with a Detrended Fluctuation Analysis (DFA) algorithm has been implemented for time-frequency representation of GNSS multi-component signals and mitigation of scintillation effects. Synthetic In-phase (I) and Quadra-phase (Q) samples were collected from the Cornell Scintillation Model (CSM) and the CSM amplitude scintillation signal was proc

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27

Muijs, Remco, O. A. Johan Robertsson, Andrew Curtis, and Klaus Holliger. "Near‐surface seismic properties for elastic wavefield decomposition: Estimates based on multicomponent land and seabed recordings." GEOPHYSICS 68, no. 6 (2003): 2073–81. http://dx.doi.org/10.1190/1.1635061.

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Accurate knowledge of the seismic material properties in the immediate vicinity of the receivers represents a prerequisite for elastic wavefield decomposition. We present strategies for estimating the elastic material properties for both land and seabed multicomponent seismic data. The proposed scheme for land data requires dense multicomponent geophone configurations, which allow spatial wavefield derivatives to be explicitly calculated. The required information can be obtained with four three‐component surface geophones positioned at the corners of a square, and a fifth geophone buried at a

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28

Hernández, Rosendo G., Chris I. De Zeeuw, Ruyan Zhang, Tatyana A. Yakusheva, and Pablo M. Blazquez. "Translation information processing is regulated by protein kinase C-dependent mechanism in Purkinje cells in murine posterior vermis." Proceedings of the National Academy of Sciences 117, no. 29 (2020): 17348–58. http://dx.doi.org/10.1073/pnas.2002177117.

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The cerebellar posterior vermis generates an estimation of our motion (translation) and orientation (tilt) in space using cues originating from semicircular canals and otolith organs. Theoretical work has laid out the basic computations necessary for this signal transformation, but details on the cellular loci and mechanisms responsible are lacking. Using a multicomponent modeling approach, we show that canal and otolith information are spatially and temporally matched in mouse posterior vermis Purkinje cells and that Purkinje cell responses combine translation and tilt information. Purkinje c

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29

Zheng, Jibin, Hongwei Liu, and Zheng Liu. "Parameterized two-dimensional representation for multicomponent cubic phase signals and its application in ISAR imaging of fluctuating ship." Digital Signal Processing 78 (July 2018): 218–31. http://dx.doi.org/10.1016/j.dsp.2017.09.009.

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30

Zahardis, J., S. Geddes, and G. A. Petrucci. "The ozonolysis of primary aliphatic amines in single and multicomponent fine particles." Atmospheric Chemistry and Physics Discussions 7, no. 5 (2007): 14603–38. http://dx.doi.org/10.5194/acpd-7-14603-2007.

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Abstract. The oxidative processing by ozone of the particulate amines octadecylamine (ODA) and hexadecylamine (HDA) is reported. Ozonolysis of these amines resulted in strong NO2− and NO3− ion signals that increased with ozone exposure as monitored by photoelectron resonance capture ionization aerosol mass spectrometry. These products suggest a mechanism of progressive oxidation of the particulate amines to nitro alkanes. Additionally, a strong ion signal at 125 m/z is assigned to the ion NO3−(HNO3). For ozonized mixed particles containing ODA or HDA + oleic acid (OL), with pO3≥3×10−7 atm, imi

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31

WU, XUEMING, and DEJIE YU. "ATOMIC DECOMPOSITION METHOD BASED ON ADAPTIVE CHIRPLET DICTIONARY." Advances in Adaptive Data Analysis 04, no. 01n02 (2012): 1250012. http://dx.doi.org/10.1142/s1793536912500124.

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We propose an atomic decomposition method (AD) based on adaptive chirplet dictionary for decomposing multicomponent nonstationary signals with polygonal instantaneous frequencies (IFs). These signals are waveforms of the very general form ∑ Ai(t) cos (φi(t)), where the phase φi(t) is time-varying and the amplitude Ai(t) is slowly varying. Different from the traditional four-parameters chirplet, the one applied in this paper only contains two parameters (chirp offset and chirp rate) and its IF can be regarded as a line on the time–frequency (TF) plane. The idea is to use matching pursuit (MP) a

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Клименок, К. Л., and А. Ю. Демьянов. "Numerical simulation of nuclear magnetic resonance in saturated porous media with consideration of phase motion." Numerical Methods and Programming (Vychislitel'nye Metody i Programmirovanie), no. 3 (August 31, 2017): 192–203. http://dx.doi.org/10.26089/nummet.v18r317.

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Представлена методика моделирования ядерного магнитного резонанса (ЯМР), позволяющая проводить расчеты для многокомпонентных многофазно насыщенных пористых сред с учетом движения всех фаз. Приведены результаты применения этого метода к цифровым моделям пористых сред, распределение фаз в которых определяется путем прямого гидродинамического моделирования методом функционала плотности. Обсуждаются результаты моделирования сигнала для различных последовательностей импульсов, повторяющих реальные ЯМР-эксперименты, и их использование для получения информации о транспорте флюида в пористой среде. По

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33

Zeng, Cao, Mengyi Qin, Dong Li, Hongqing Liu, and Yi Chai. "An Efficient ISAR Imaging of Targets with Complex Motions Based on a Quasi-Time-Frequency Analysis Bilinear Coherent Algorithm." Sensors 18, no. 9 (2018): 2814. http://dx.doi.org/10.3390/s18092814.

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The inverse synthetic aperture radar (ISAR) imaging for targets with complex motions has always been a challenging task due to the time-varying Doppler parameter, especially at the low signal-to-noise ratio (SNR) condition. In this paper, an efficient ISAR imaging algorithm for maneuvering targets based on a noise-resistance bilinear coherent integration is developed without the parameter estimation. First, the received signals of the ISAR in a range bin are modelled as a multicomponent quadratic frequency-modulated (QFM) signal after the translational motion compensation. Second, a novel quas

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34

Griffiths, Matthew P., André J. M. Pugin, and Dariush Motazedian. "Estimating local slope in the time-frequency domain: Velocity-independent seismic imaging in the near surface." GEOPHYSICS 85, no. 5 (2020): U99—U107. http://dx.doi.org/10.1190/geo2019-0753.1.

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Seismic reflection processing for multicomponent data is very time consuming. To automatically streamline and shorten this process, a new approach for estimating the local event slope (local static shift) in the time-frequency domain is proposed and tested. The seismic event slope is determined by comparing the local phase content of Stockwell transformed signals. This calculation allows for noninterfering arrivals to be aligned by iteratively correcting trace by trace. Alternatively, the calculation can be used in a velocity-independent imaging framework with the possibility of exporting the

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35

Krechmer, Jordan E., Michael Groessl, Xuan Zhang, et al. "Ion mobility spectrometry–mass spectrometry (IMS–MS) for on- and offline analysis of atmospheric gas and aerosol species." Atmospheric Measurement Techniques 9, no. 7 (2016): 3245–62. http://dx.doi.org/10.5194/amt-9-3245-2016.

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Abstract. Measurement techniques that provide molecular-level information are needed to elucidate the multiphase processes that produce secondary organic aerosol (SOA) species in the atmosphere. Here we demonstrate the application of ion mobility spectrometry-mass spectrometry (IMS–MS) to the simultaneous characterization of the elemental composition and molecular structures of organic species in the gas and particulate phases. Molecular ions of gas-phase organic species are measured online with IMS–MS after ionization with a custom-built nitrate chemical ionization (CI) source. This CI–IMS–MS

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36

Bochenek, Dariusz, Przemysław Niemiec, and Artur Chrobak. "Effect of Chemical Composition on Magnetic and Electrical Properties of Ferroelectromagnetic Ceramic Composites." Materials 14, no. 10 (2021): 2488. http://dx.doi.org/10.3390/ma14102488.

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In this paper, ferroelectric–ferrimagnetic ceramic composites based on multicomponent PZT-type (PbZr1−xTixO3-type) material and ferrite material with different percentages in composite compositions were obtained and studied. The ferroelectric component of the composite was a perovskite ceramic material with the chemical formula Pb0.97Bi0.02(Zr0.51Ti0.49)0.98(Nb2/3Mn1/3)0.02O3 (P), whereas the magnetic component was nickel-zinc ferrite with the chemical formula Ni0.5Zn0.5Fe2O4 (F). The process of sintering the composite compounds was carried out by the free sintering method. Six ferroelectric-f

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37

Peleg, S., and B. Friedlander. "Multicomponent signal analysis using the polynomial-phase transform." IEEE Transactions on Aerospace and Electronic Systems 32, no. 1 (1996): 378–87. http://dx.doi.org/10.1109/7.481277.

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38

Morozov, Igor B., and Scott B. Smithson. "Instantaneous polarization attributes and directional filtering." GEOPHYSICS 61, no. 3 (1996): 872–81. http://dx.doi.org/10.1190/1.1444012.

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We introduce a systematic definition of instantaneous attributes for an arbitrary multicomponent seismic signal. The definition is a natural generalization of known complex trace attributes of a one‐component signal. Instantaneous amplitude and all polarization parameters are defined as invariants of “instantaneous phase rotation.” The principal feature of our approach is the unique definition of the instantaneous phase for a signal with any number of components. Plots of subtle polarization parameters of multicomponent seismic data are easily obtained using conventional seismic plotting routi

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39

Tichavsky, P., and P. Handel. "Multicomponent polynomial phase signal analysis using a tracking algorithm." IEEE Transactions on Signal Processing 47, no. 5 (1999): 1390–95. http://dx.doi.org/10.1109/78.757228.

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Barbarossa, S., A. Scaglione, and G. B. Giannakis. "Product high-order ambiguity function for multicomponent polynomial-phase signal modeling." IEEE Transactions on Signal Processing 46, no. 3 (1998): 691–708. http://dx.doi.org/10.1109/78.661336.

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41

Zhang, Wen-wen, and Xi-cai Si. "A New Estimation Method of Instantaneous Frequency Rate for Multicomponent Polynomial Phase Signal." Journal of Electronics & Information Technology 30, no. 12 (2011): 2881–85. http://dx.doi.org/10.3724/sp.j.1146.2007.01855.

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42

René, R. M. "Reply by the author to B. J. Evans." GEOPHYSICS 52, no. 6 (1987): 815. http://dx.doi.org/10.1190/1.1486960.

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I wish to thank Dr. Evans for his comments. In the data of the subject paper, hodograms differ from particle motion for frequency components below the resonant frequency of the geophone (8 Hz) or above the corner frequency of the anti‐aliasing filter (125 Hz). The necessity of compensation for phase response depends upon the nature of the signal and purpose of the study. The method of multicomponent complex trace analysis is largely concerned with phase differences between vertical and horizontal components of motion.

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Gharti, Hom Nath, Volker Oye, Michael Roth, and Daniela Kühn. "Automated microearthquake location using envelope stacking and robust global optimization." GEOPHYSICS 75, no. 4 (2010): MA27—MA46. http://dx.doi.org/10.1190/1.3432784.

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Most earthquake location methods require phase identification and arrival-time measurements. These methods are generally fast and efficient but not always applicable to microearthquake data with low signal-to-noise ratios because the phase identification might be very difficult. The migration-based source location methods, which do not require an explicit phase identification, are often more suitable for such noisy data. Whereas some existing migration-based methods are computationally intensive, others are limited to a certain type of data or make use of only a particular phase of the signal.

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44

N. Dreiss, Amélie, Andrea Romano, Raphaëlle Flint, et al. "Non-Vocal Behaviors Are More Frequent During the Decisive Negotiation Phases in Barn Owl Siblings." Animals 10, no. 10 (2020): 1777. http://dx.doi.org/10.3390/ani10101777.

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Animals produce vibrations or noises by means of body movements, which can play a role in communication. These behaviors enhance signal transmission or receiver attention and could be specifically used during turn-taking phases of a reciprocal exchange of signals. In the barn owl Tyto alba, nestlings vocalize one after the other to negotiate which individual will have priority access to the impending prey item to be delivered by the parents. Owlets adjust their vocalization to their own hunger level and to their siblings’ vocalization, withdrawing from the contest in front of highly vocal, and

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45

Pan, Zhenru, Huaitao Fan, and Zhimin Zhang. "Nonuniformly-Rotating Ship Refocusing in SAR Imagery Based on the Bilinear Extended Fractional Fourier Transform." Sensors 20, no. 2 (2020): 550. http://dx.doi.org/10.3390/s20020550.

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Nonuniformly-rotating ship refocusing is very significant in the marine surveillance of satellite synthetic aperture radar (SAR). The majority of ship imaging algorithms is based on the inverse SAR (ISAR) technique. On the basis of the ISAR technique, several parameter estimation algorithms were proposed for nonuniformly rotating ships. But these algorithms still have problems on cross-terms and noise suppression. In this paper, a refocusing algorithm for nonuniformly rotating ships based on the bilinear extended fractional Fourier transform (BEFRFT) is proposed. The ship signal in a range bin

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46

Xia, Hua, Nelson Settles, and David DeWire. "Moisture-Resistant Sealing Materials for Downhole HPHT Electrical Feedthrough Package." Journal of Microelectronics and Electronic Packaging 16, no. 3 (2019): 141–48. http://dx.doi.org/10.4071/imaps.942864.

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Abstract A bismuth oxide–based multicomponent glass system, xH3BO3-yBi2O3-(1-x-y-δ)MO-δ· rare earth oxides (REOs) with MO = TiO2, BaO, ZnO, Fe2O3, etc., and lanthanum series–based REOs, for making downhole high-pressure and high-temperature electrical feedthrough package has been developed using high-temperature melt-quenching and sintering technologies. By properly controlling phase structures in material-manufacturing processes, the obtained sealing materials have shown moisture-resistant properties in their monoclinic and tetragonal mixed phase structures but strongly hydrophobic properties

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Pollard, Benjamin, and Markus B. Raschke. "Correlative infrared nanospectroscopic and nanomechanical imaging of block copolymer microdomains." Beilstein Journal of Nanotechnology 7 (April 22, 2016): 605–12. http://dx.doi.org/10.3762/bjnano.7.53.

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Intermolecular interactions and nanoscale phase separation govern the properties of many molecular soft-matter systems. Here, we combine infrared vibrational scattering scanning near-field optical microscopy (IR s-SNOM) with force–distance spectroscopy for simultaneous characterization of both nanoscale optical and nanomechanical molecular properties through hybrid imaging. The resulting multichannel images and correlative analysis of chemical composition, spectral IR line shape, modulus, adhesion, deformation, and dissipation acquired for a thin film of a nanophase separated block copolymer (

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Praus, P., F. Sureau, E. Kocisova, I. Rosenberg, J. Stepanek, and P. Y. Turpin. "A frequency Domain Phase/Modulation Technique for Intracellular Multicomponent Fluorescence Analysis: Technical Approach and Pharmacological Applications." Spectroscopy 17, no. 2-3 (2003): 429–34. http://dx.doi.org/10.1155/2003/418370.

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A UV confocal laser microspectrofluorimeter prototype has been adapted for fluorescence lifetime measurements by using a frequency-domain phase/modulation method (modulation frequency 1 to 200 MHz, lifetime resolution: tenth of a ns). This technique enables excited state lifetimes of several fluorescent components to be resolved and determined. Through a global analysis, specific spectral contribution of each species can be monitored with no need to use model spectra. This approach is efficient to distinguish strongly overlapping components (e.g., intracellular multicomponent fluorescence sign

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Helk, Tobias, Emma Berger, Sasawat Jamnuch, et al. "Table-top extreme ultraviolet second harmonic generation." Science Advances 7, no. 21 (2021): eabe2265. http://dx.doi.org/10.1126/sciadv.abe2265.

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The lack of available table-top extreme ultraviolet (XUV) sources with high enough fluxes and coherence properties has limited the availability of nonlinear XUV and x-ray spectroscopies to free-electron lasers (FELs). Here, we demonstrate second harmonic generation (SHG) on a table-top XUV source by observing SHG near the Ti M2,3 edge with a high-harmonic seeded soft x-ray laser. Furthermore, this experiment represents the first SHG experiment in the XUV. First-principles electronic structure calculations suggest the surface specificity and separate the observed signal into its resonant and no

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Yu, Lei, Guochao Lao, Chunsheng Li, Yang Sun, and Yingying Li. "A Novel Multicomponent PSO Algorithm Applied in FDE–AJTF Decomposition." Electronics 8, no. 1 (2019): 51. http://dx.doi.org/10.3390/electronics8010051.

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The echo of maneuvering targets can be expressed as a multicomponent polynomial phase signal (mc-PPS), which should be processed by time frequency analysis methods, while, as a modified maximum likelihood (ML) method, the frequency domain extraction-based adaptive joint time frequency (FDE–AJTF) decomposition method is an effective tool. However, the key procedure in the FDE–AJTF method is searching for the optimal parameters in the solution space, which is essentially a multidimensional optimization problem with different extremal solutions. To solve the problem, a novel multicomponent partic

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