Results 21 to 30 of about 316,721 (253)
Effects of Multirate Systems on the Statistical Properties of Random Signals [PDF]
, 1993 In multirate digital signal processing, we often encounter time-varying linear systems such as decimators, interpolators, and modulators. In many applications, these building blocks are interconnected with linear filters to form more complicated systems.
Sathe, Vinay P., Vaidyanathan, P. P.
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On Generalized Difference Rough Ideal Statistical Convergence in Neutrosophic Normed Spaces [PDF]
Neutrosophic Sets and SystemsThis article’s main goal is to provide and investigate a novel statistical convergence generalisation for generalized difference sequences in Neutrosophic Normed Spaces (NNS) called rough ideal statistical convergence.
Manpreet Kaur, Meenakshi Chawla
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Ideal-quasi-Cauchy sequences [PDF]
, 2012 An ideal $I$ is a family of subsets of positive integers $\textbf{N}$ which is closed under taking finite unions and subsets of its elements.
Cakalli, Huseyin, Hazarika, Bipan
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Ideal convergence generated by double summability methods
Demonstratio Mathematica, 2016 The main result of this note is that if I is an ideal generated by a regular double summability matrix summability method T that is the product of two nonnegative regular matrix methods for single sequences, then I-statistical convergence and convergence
Connor Jeff
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Improving Bundle Routing in a Space DTN by Approximating the Transmission Time of the Reliable LTP
Network, 2023 Because the operation of space networks is carefully planned, it is possible to predict future contact opportunities from link budget analysis using the anticipated positions of the nodes over time.
Ricardo Lent
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Sub-Alfvenic Non-Ideal MHD Turbulence Simulations with Ambipolar Diffusion: I. Turbulence Statistics [PDF]
, 2008 Most numerical investigations on the role of magnetic fields in turbulent molecular clouds (MCs) are based on ideal magneto-hydrodynamics (MHD). However, MCs are weakly ionized, so that the time scale required for the magnetic field to diffuse through ...
Christopher F. McKee +8 more
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Experimental Evaluation and Analysis of Federated Learning in Edge Computing Environments
IEEE Access, 2023 Federated learning (FL) is a machine learning system that allows a network of devices to train a model without centralized data. This characteristic makes FL an ideal choice for machine learning using user data while maintaining privacy.
Pham Khanh Quan +2 more
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Thermodynamics of statistically interacting quantum gas in D dimensions [PDF]
, 2007 We present the exact thermodynamics (isochores, isotherms, isobars, response functions) of a statistically interacting quantum gas in D dimensions. The results in D=1 are those of the thermodynamic Bethe ansatz for the nonlinear Schroedinger model, a gas
B. Sutherland +14 more
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Alexandria Engineering Journal, 2023 This paper addresses the pressing concern of traffic safety by focusing on the optimization of vehicle cruise control systems. While traditional control techniques have been widely employed, their design procedures can be time-consuming and suboptimal ...
Davut Izci +3 more
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Statistical mechanical aspects of joint source-channel coding [PDF]
, 2003 An MN-Gallager Code over Galois fields, $q$, based on the Dynamical Block Posterior probabilities (DBP) for messages with a given set of autocorrelations is presented with the following main results: (a) for a binary symmetric channel the threshold, $f_c$
+17 more
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