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Wyszukujesz frazę "spectral line" wg kryterium: Temat


Wyświetlanie 1-2 z 2
Tytuł:
A method of impurity diagnostics in dense plasma systems
Autorzy:
Tsarenko, A. V.
Chebotarev, V. V.
Sadowski, M. J.
Tereshin, V. I.
Powiązania:
https://bibliotekanauki.pl/articles/146854.pdf
Data publikacji:
2001
Wydawca:
Instytut Chemii i Techniki Jądrowej
Tematy:
impurity diagnostics
local thermodynamical equilibrium
plasma accelerator
plasma-target interaction
spectral line
Opis:
The analysis of a plasma impurity composition in many plasma systems (such as coaxial plasma accelerators, magnetic- plasma compressors, plasma-focus devices, and others) is of great importance for plasma physics. In this work we have proposed a new spectral method for the determination of impurity concentrations in relation to the concentration of the main plasma (made of hydrogen in our case). This technique can be used e.g. for diagnostics of a peripheral zone in Plasma-Focus (PF) discharges, where LTE conditions must be fulfilled. Advantages of this method in comparison with other methods, as well as possible errors, are considered and discussed.
Źródło:
Nukleonika; 2001, 46, suppl. 1; 37-40
0029-5922
1508-5791
Pojawia się w:
Nukleonika
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Segregation of songs and instrumentals : a precursor to voice/accompaniment separation from songs in noisy scenario
Autorzy:
Mukherjee, Himadri
Obaidullah, Sk Md
Santosh, K.C.
Gonçalves, Teresa
Phadikar, Santanu
Roy, Kaushik
Powiązania:
https://bibliotekanauki.pl/articles/384645.pdf
Data publikacji:
2020
Wydawca:
Sieć Badawcza Łukasiewicz - Przemysłowy Instytut Automatyki i Pomiarów
Tematy:
background track
vocals
noisy audio
line spectral frequency
framing
Opis:
The music industry has come a long way since its inception. Music producers have also adhered to modern technology to infuse life into their creations. Systems capable of separating sounds based on sources especially vocals from songs have always been a necessity which has gained attention from researchers as well. The challenge of vocal separation elevates even more in the case of the multi‐instrument environment. It is essential for a system to be first able to detect that whether a piece of music contains vocals or not prior to attempting source separation. It is also very much challenging to perform source separation from audio which is contaminated with noise. In this paper, such a system is proposed being tested on a database of more than 99 hours of instrumentals and songs. Experiments were performed with both noise free as well as noisy audio clips. Using line spectral frequency‐based features, we have obtained the highest accuracies of 99.78% and 99.34% (noise free and noisy scenario respectively) from among six different classifiers, viz. BayesNet, Support Vector Machine, Multi Layer Perceptron, LibLinear, Simple Logistic and Decision Table.
Źródło:
Journal of Automation Mobile Robotics and Intelligent Systems; 2020, 14, 2; 81-90
1897-8649
2080-2145
Pojawia się w:
Journal of Automation Mobile Robotics and Intelligent Systems
Dostawca treści:
Biblioteka Nauki
Artykuł
    Wyświetlanie 1-2 z 2

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