Výsledky vyhledávání - "D. G. Khairnar"

Detection of Pitch Frequency of Indian Classical Music Based on Hilbert-Huang Transform for Automatic Note Transcription

Autor: Snehal R. Kharvatkar, D. G. Khairnar, Indraneel C. Naik, Manish Sharma

Publikováno v: 2018 Fourth International Conference on Computing Communication Control and Automation (ICCUBEA).

The pitch detection is an integral element of automatic music transcription system. Empirical Mode Decomposition (EMD) technique plays a key part in the pitch detection. With this technique, any complicated data set comprising of frequency-amplitude

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::03075c2bcdc086a470a26504f5e28b86
https://doi.org/10.1109/iccubea.2018.8697523

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An intelligent eNodeB for lte uplink based on neural network

Autor: D. G. Khairnar, Manish Sharma, Rajat Babanrao Urade

Publikováno v: 2017 International Conference on Information, Communication, Instrumentation and Control (ICICIC).

The use of Levenberg Marquardt (LM) and gradient descent (GD) based machine learning algorithms in feed forward random neural network (RNN) for preparing calculation based structure is utilized to enhance radio resource management (RRM) and inter cel

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::4cc713a2701c942af041872d3f35ef37
https://doi.org/10.1109/icomicon.2017.8279114

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Removal of Impulsive Noise From Long Term Evolution Handset

Autor: D. G. Khairnar, Akhil Sureshrao Kulkarni, Lina Pawar

Publikováno v: Advances in Intelligent Systems and Computing ISBN: 9783319549774

The Long Term Evolution (LTE) handsets operates in the frequency bands which are being affected by the impulsive noise (IN). The double detection method is used to remove IN from the LTE handset. This method uses the conventional threshold method whe

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::dc6514c52e113b7170ebfd9a82a9d2f8
https://doi.org/10.1007/978-3-319-54978-1_118

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Parallel Support Vector Configuration for Identification of Fast Independent Components in Morphological Patterns Derived by Cardiovasographic Analysis on the Radial Pulse

Autor: Shabbir N. Merchant, D. G. Khairnar, Sunil Karamchandani, G. D. Jindal, M. Panju, Uday B. Desai

Publikováno v: Neural Information Processing ISBN: 9783642344800
ICONIP (2)

The paper proposes identification of eight morphologically different pulse waveforms obtained from cardiovasographic observations on the radial pulse. Eight patterns correlated with normal subjects and those suffering from diseases of heart, lungs an

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::6237d85e3658f3655b2d678d89b7191b
https://doi.org/10.1007/978-3-642-34481-7_69

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