Tutorial: Signal processing methods for machinery diagnostics | Zendy

Richard H. Lyon | Zendy

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Tutorial: Signal processing methods for machinery diagnostics

Author(s) -

Richard H. Lyon

Publication year - 1989

Publication title -

the journal of the acoustical society of america

Language(s) - Uncategorized

Resource type - Journals

SCImago Journal Rank - 0.619

H-Index - 187

eISSN - 1520-8524

pISSN - 0001-4966

DOI - 10.1121/1.2026864

Subject(s) - computer science , signal processing , deconvolution , signal (programming language) , frequency domain , demodulation , kalman filter , transfer function , time domain , hilbert transform , cepstrum , acoustics , energy (signal processing) , blind deconvolution , vibration , spectral density , speech recognition , digital signal processing , artificial intelligence , algorithm , computer vision , telecommunications , channel (broadcasting) , mathematics , computer hardware , physics , statistics , electrical engineering , programming language , engineering

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