Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Musyyab Yousufi"'
Publikováno v:
Brain Sciences, Vol 14, Iss 10, p 1018 (2024)
Background/Objectives: This study investigates the classification of Major Depressive Disorder (MDD) using electroencephalography (EEG) Short-Time Fourier-Transform (STFT) spectrograms and audio Mel-spectrogram data of 52 subjects. The objective is t
Externí odkaz:
https://doaj.org/article/7d163959c2064dc9a402637a2eaab273
Autor:
Hayat Ullah, Muhammad Tayyib, Muhammad Waseem Akram, Khurram Saleem Alimgeer, Umer Javed, Khan Bahadar Khan, Muhammad Amir, Suheel Abdullah, Musyyab Yousufi, Ijaz Mansoor Qureshi
Publikováno v:
BioMed Research International, Vol 2019 (2019)
BioMed Research International
BioMed Research International
Compressive sensing (CS) offers compression of data below the Nyquist rate, making it an attractive solution in the field of medical imaging, and has been extensively used for ultrasound (US) compression and sparse recovery. In practice, CS offers a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4b7978732712d0d27938d9d5ce10c022
https://doi.org/10.1155/2019/7861651
https://doi.org/10.1155/2019/7861651
Publikováno v:
2018 IEEE 4th International Conference on Computer and Communications (ICCC).
Compress sensing has advantage of simultaneous sensing and data compression. In recent years block compressive sensing (BCS) is celebrated because of its low encoding complexity. In this paper FOCUSS reconstruction algorithm based on BCS frame work i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::194d2dae1057dfe8f77b0ff555bd1b8d
https://doi.org/10.1109/compcomm.2018.8780883
https://doi.org/10.1109/compcomm.2018.8780883