2024
Citation: 'spectral resolution' in the IUPAC Compendium of Chemical Terminology, 5th ed.; International Union of Pure and Applied Chemistry; 2025. Online version 5.0.0, 2025. 10.1351/goldbook.08289 • License: The IUPAC Gold Book is licensed under Creative Commons Attribution-ShareAlike CC BY-SA 4.0 International for individual terms. Requests for commercial usage of the compendium should be directed to IUPAC.
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2024
Citation: 'nominal spectral resolution' in the IUPAC Compendium of Chemical Terminology, 5th ed.; International Union of Pure and Applied Chemistry; 2025. Online version 5.0.0, 2025. 10.1351/goldbook.08274 • License: The IUPAC Gold Book is licensed under Creative Commons Attribution-ShareAlike CC BY-SA 4.0 International for individual terms. Requests for commercial usage of the compendium should be directed to IUPAC.
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J. Moultaka, A. Eckart, K. Tikare et al. · Springer Link (Chiba Institute of Technology) · 2019
Context. In the near- to mid-infrared wavelength domain, bright continuum sources in the central parsec of the Galactic center (GC) are subject to foreground absorption. These sources therefore represent ideal probes of the intervening material that is responsible for the absorption along the line of sight. Aims. Our aim is to shed light on the location and physics of the absorbing clouds. We try to find out which of the gaseous absorbing materials is intimately associated with the GC and which one is associated with clouds at a much larger distance. Methods. We used the capabilities of CRIRES spectrograph located at ESO Very Large Telescope in Chile to obtain absorption spectra of individual lines at a high spectral resolution of R = 50 000, that is, 5 km s−1. We observed the 12CO R(0), P(1), P(2), P(3), P(4), P(5), P(6), P(7) and P(9) transition lines, applied standard data reduction, and compared the results with literature data. Results. We present the results of CRIRES observations of 13 infrared sources located in the central parsec of the Galaxy. The data provide direct evidence for a complex structure of the interstellar medium along the line of sight and in the close environment of the central sources. In particular we find four cold foreground clouds at radial velocities vLSR of the order of −145, −85, −60, and −40 ± 15 km s−1 that show absorption in the lower transition lines from R(0) to P(2) and in all the observed spectra. We also find in all sources an absorption in velocity range of 50–60 km s−1, possibly associated with the so-called 50 km s−1 cloud and suggesting an extension of this cloud in front of the GC. Finally, we detect individual absorption lines that are probably associated with material much closer to the center and with the sources themselves, suggesting the presence of cold gas in the local region.
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Murakami, Yuri, Nakazaki, Keiichiro, Yamaguchi, Masahiro · Figshare · 2014
This paper presents a prototype of a spectral video system based on hybrid resolution spectral imaging. The system consists of a commercial three-channel color camera and a low-resolution spectral sensor which captures a 68-pixel spectral image by a single snap-shot. By combining the measurement data from both devices, the system produces high-resolution spectral image data frame by frame. The accuracy of the spectral data measured by the system is evaluated at some selected regions in the image. As a result, it is confirmed that spectra can be measured with less or around 10% of normalized root mean squared error. In addition, the capture of spectral videos in 3 frame-per-second and the real-time color reproduction in the same frame rate from the spectral video are demonstrated.
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村上 百合, Yuri Murakami, 中﨑 渓一郎 et al. · Tokyo Tech Research Repository (Tokyo Institute of Technology) · 2015
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Murakami, Yuri, Nakazaki, Keiichiro, Yamaguchi, Masahiro · Figshare · 2014
This paper presents a prototype of a spectral video system based on hybrid resolution spectral imaging. The system consists of a commercial three-channel color camera and a low-resolution spectral sensor which captures a 68-pixel spectral image by a single snap-shot. By combining the measurement data from both devices, the system produces high-resolution spectral image data frame by frame. The accuracy of the spectral data measured by the system is evaluated at some selected regions in the image. As a result, it is confirmed that spectra can be measured with less or around 10% of normalized root mean squared error. In addition, the capture of spectral videos in 3 frame-per-second and the real-time color reproduction in the same frame rate from the spectral video are demonstrated.
Cited by 0Open access
García, J., Stock, M. J., Sánchez, N. et al. · Redalyc (Universidad Autónoma del Estado de México) · 2005
"The method developed by Stock & Stock (1999) to derive absolute magnitudesand intrinsic colors is applied to simulated low-resolution spectra. The simulationis made by convolving real spectra with a Gaussian function, with (the full widthat half maximum) related to the final spectral resolution. The accuracy with whichthe stellar parameters are determined indicates that the method may be applied totypical objective-prism spectra. We show that changes in the spectral resolutiondo not significantly affect the stellar parameters obtained with this method forearly-type stars, whereas for later-type stars an improved approach is necessary."
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Edwin Eloranta · 2006
Cited by 161
Tryphon T. Georgiou · 2006
Abstract : We have developed theory and software for multivariable subspace analysis and for identifying emission spectral lines in multivariable time-series. This is expected to have an impact in polarimetric radar, where the underlying energy distribution is truly multivariable. Finally we have introduced intrinsic notions of distance between power spectra. These measures quantify the degradation of performance when a wrong choice is made between two alternatives.
Cited by 1
Leroy C. Pusey · 1975
Abstract : The Maximum Likelihood Method and the Maximum Entropy Method of spectral estimation are described and interpreted in terms of the innovation filter concept. Algorithms are developed for mapping an observed data sequence into the spectral estimates. The resolution performance of these spectral estimation algorithms is compared by applying each to simulated data containing two tones in white noise.
Cited by 7
Yuri Murakami (3982757), Keiichiro Nakazaki (3982760), Masahiro Yamaguchi (204795) · Figshare · 2017
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C.H. Chen · Proceedings of the IEEE · 1981
Computer results are presented to illustrate the spectral resolution of the nonlinear maximum entropy spectral analysis developed by Fougere. Comparison is also made with the recently published results in this PROCEEDINGS.
Cited by 2
Edgar Salazar, Alejandro Parada-Mayorga, Gonzalo R. Arce · IEEE Transactions on Computational Imaging · 2019
The recently introduced <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">Spatial Spectral Compressive Spectral Imager (SSCSI)</i> has been proposed as an alternative to carry out spatial and spectral coding using a binary <sc xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">ON–OFF</small> coded aperture. In SSCSI, the pixel pitch size of the coded aperture, as well as its location with respect to the detector array, plays a critical role in the quality of image reconstruction. In this paper, a rigorous discretization model for this architecture is developed, based on a light propagation analysis across the imager. The attainable spatial and spectral resolution, and the various parameters affecting them, is derived through this process. Much like the displacement of zoom lens components leads to higher spatial resolution of a scene, a shift of the coded aperture in the SSCSI in reference to the detector leads to higher spectral resolution. This allows the recovery of spectrally detailed datacubes by physically displacing the mask toward the spectral plane. To prove the underlying concepts, computer simulations and experimental data are presented in this paper.
Cited by 11Open access
Salazar, Edgar, Parada-Mayorga, Alejandro, Arce, Gonzalo R. · arXiv (Cornell University) · 2018
The recently introduced Spatial Spectral Compressive Spectral Imager (SSCSI) has been proposed as an alternative to carry out spatial and spectral coding using a binary on-off coded aperture. In SSCSI, the pixel pitch size of the coded aperture, as well as its location with respect to the detector array, play a critical role in the quality of image reconstruction. In this paper, a rigorous discretization model for this architecture is developed, based on a light propagation analysis across the imager. The attainable spatial and spectral resolution, and the various parameters affecting them, is derived through this process. Much like the displacement of zoom lens components leads to higher spatial resolution of a scene, a shift of the coded aperture in the SSCSI in reference to the detector leads to higher spectral resolution. This allows the recovery of spectrally detailed datacubes by physically displacing the mask towards the spectral plane. To prove the underlying concepts, computer simulations and experimental data are presented in this paper.
Cited by 0Open access
Qiang Li, Qi Wang · Unsupervised and semi-supervised learning · 2024
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Divya Duscharla (2557966), Sudarshana Reddy Bhumireddy (766938), Sridhar Lakshetti (2557963) et al. · Figshare · 2016
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Jon Darius · 1980
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Yakov G. Soskind · SPIE eBooks · 2011
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Zachary D. Schultz, Deben Shoup, Abigail E. Smith · PubMed Central · 2022
Advances in nanotechnology enable the detection of trace molecules from the enhanced Raman signal generated at the surface of plasmonic nanoparticles. We have developed technology to enable super-resolution imaging of plasmonic nanoparticles, where the fluctuations in the surface enhanced Raman scattering (SERS) signal can be analyzed with localization microscopy techniques to provide nanometer spatial resolution of the emitting molecule's location. Additional work now enables the super-resolved SERS image and the corresponding spectrum to be acquired simultaneously. Here we will discuss how this approach can be applied to provide new insights into biological cells.
Cited by 1Open access
Gobes, M.I., Martens, K.J.A. · Socio-Environmental Systems Modeling · 2022
Data analysis software that takes localisations (usually from Super Resolution Microscopy) and creates pairs from them. It does this based on the assumption that a grating was fixed in front of the camera sensor and thus each feature produced multiple localisations, with a distance based on the wavelength of the original signal.
Cited by 0Open access