Orthogonal subspace decomposition of periodic signals
作者： D.D. Muresan , T.W. Parks
DOI: 10.1109/ACSSC.1999.831877
关键词: Algorithm 、 Multiplicative noise 、 Noise floor 、 Detection theory 、 Signal transfer function 、 Matched filter 、 Computer science 、 White noise 、 Estimation theory 、 Speech recognition 、 Noise measurement 、 Additive white Gaussian noise 、 Analog signal 、 Noise (signal processing) 、 Stochastic resonance 、 Gaussian noise
摘要: The detection and estimation of machine vibration multiperiodic signals unknown frequencies in white Gaussian noise is investigated. New estimates for the subsignals (signals making up received signal) their periods are derived using an orthogonal subspace decomposition approach.
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