Based on the study of sensing property fiber bragg grating (FBG) sensor network, this paper takes hybrid wavelength division/time division multiplexing network with high-capacity FBG as research object to noise source, category and traditional reduction algorithm. In accordance characteristic crosstalk accumulation in proposes LCEEMD-LWT signal processing method, which uses local complementary ...

The incidence of collisions between motorcyclists and other vehicles may be significantly reduced by research that improves the acoustic awareness of cyclists, and thus heightens the ability of cyclists to respond to unexpected incursions from the surrounding traffic. We use our hearing as an early warning system, and hearing swiftly redirects our vision and attention. This shift in gaze is cri...

This article presents a new subspace-based technique for reducing the noise of signals in time-series. In the proposed approach, the signal is initially represented as a data matrix. Then using Singular Value Decomposition (SVD), noisy data matrix is divided into signal subspace and noise subspace. In this subspace division, each derivative of the singular values with respect to rank order is u...

Different methods for removing noise contaminating time series are presented, which all exploit the underlying (deterministic) dynamics. All approaches are embedded in a probabilistic framework for stochastic systems and signals, where the two main tasks, state and orbit estimation, are distinguished. Estimation of the true current state (without noise) is based on previously sampled elements o...