Hilbert-Huang Transform and the Application

Adaptively Equalized Bandwidth Optimization Model using SCADA-DWWAN based Neural Network

“…Thus, the Maximum Correntropy condition described in terms of Eigen-Space minimization criterion is derived by us according to the ODE-MSE ensemble distribution given by authors [3] as , - To apply maximum correntropy decision model in a Kalman-KRLS [9][13] ADALINE model, the following standard algorithm is considered . Here, f(∘) corresponds to a transformation function like Fourier-Bessel Transform as well as Huang-Hilbert Transform [14] for Gaussian Q-determinant.…”

“…Thus, using sequential/regressive training of the switching rates using a novel 'Lagrangian-Determinant' [12] for a Markov-trained Hybrid-ARQ [3][17], average Shannon Bands (sub-bands) are being determined corresponding to each primary/secondary station groups to achieve optimized sharing of the bandwidth while ensuring minimum buffer wastage as well as minimum critical latency. Hilbert frequency transforms [14] are used and learning curves are characterized for evaluating the performance and fidelity of our proposed architecture. Let us consider the following typical S-T Windowed Constellation [16] , as shown in Fig.…”

“…Upper bound and lower bound ensemble margins have been determined using ODE mass function limits as described by authors [3]. Thus, applying MLSE-Quantization [8][17] and Huang-Hilbert norms [14] upon the "extracted" ESD, entropy transition levels have been approximated and extracted iteratively.…”

“…Using Huang-Hilbert Transform [14] over the sequentially transmitted buffer links, we thus obtain the overall Instantaneous Bandwidth Distribution which are artificially identified for the Virtually Simulated SCADA-OFDMA Transmission Channel [1] . The given plots describe the spectrum utilization over the virtual IEEE-802.22x OFDMA adaptive channel.…”

Radio Frequency Fingerprint Collaborative Intelligent Identification Using Incremental Learning

“…Y. Liu et al introduced a feature extraction method based on Hilbert Huang transform (HHT), which combines EMD algorithm with Hilbert transform to extract instantaneous frequency and amplitude. However, it has endpoint effect [13]. The authors in [14]- [17] put forward a method of feature extraction based on bi-spectrum transformation (BST).…”