This paper proposes a time-varying amplitude frequency monitoring method based on sliding window FFT of sub-synchronous oscillation to identify the time-varying modal parameters of the oscillating signals on-line.Firstly, windowed interpolation methods are used to reduce the spectral leakage sassy spheres candy and fence effect, and decrease the FF
Causality inference has arrested much copyright tiki mug attention in academic studies.Currently, multiple methods such as Granger causality, Convergent Cross Mapping (CCM), and Noise-assisted Multivariate Empirical Mode Decomposition (NA-MEMD) are introduced to solve the problem.Motivated by the researchers who uploaded the open-source code for ca
In order to solve the problem of high collision rate and low timeliness of large-scale terminals access in the Internet of things, a large-scale terminal access algorithm based on slot ALOHA and adaptive access class barring (ACB) magic pants stoko was proposed.Firstly, the services were classified based on the data from each terminal by the volume