A systematic method for connection-wise endto-end delay analysis in asynchronous transfer mode (ATM) networks is proposed. This method consists of the followings: (i) per-stream nodal analysis; (ii) output processes characterization; and (iii) moment matching scheme. Following our previous work [1], we employ H-MMPPs/Slotted D/1 to model ATM queues. Each virtual connection (VC) in ATM networks ...

We derive an asymptotic expansion for the log-likelihood of Gaussian mixture models (GMMs) with equal covariance matrices in low signal-to-noise regime. The reveals intimate connection between two types algorithms parameter estimation: method moments and likelihood optimizing such as Expectation-Maximization (EM). show that optimization SNR regime reduces to a sequence least squares problems ma...

Scenario generations of cooling, heating, and power loads are great significance for the economic operation stability analysis integrated energy systems. In this paper, a novel deep generative network is proposed to model load curves based on moment matching networks (GMMN) where an auto-encoder transforms high-dimensional into low-dimensional latent variables maximum mean discrepancy represent...

We propose a projection based multi-moment matching method for model order reduction of quadratic-bilinear systems. The goal is to construct reduced system that ensures higher-order moment the multivariate transfer functions appearing in input-output representation non-linear system. An existing technique achieves this first two functions, what called symmetric form functions. extend framework ...

The new concept of multinode moment matching (MMM) is introduced in this paper. The MMM technique simultaneously matches the moments at several nodes of a circuit using explicit moment matching around = 0. As compared to the well known single-point moment matching (SMM) techniques (such as asymptotic waveform evaluation), MMM has several advantages. First, the number of moments required by MMM ...

Power integrity analysis of in-package and on-chip power supply needs to consider a large number of ports and handle magnetic coupling that is better represented by susceptance. The existing moment matching methods are not able to accurately model both large number of ports and susceptance. In this paper, we propose a generalized Second-order Arnoldi method for reducing Multiple SOurce Network ...