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The generation of spikes by neurons is energetically a costly process. This paper studies the consumption of energy and the information entropy in the signalling activity of a model neuron both when i...
Abstract: The main focus and contribution of this paper is a novel network-MIMO TDD architecture that achieves spectral efficiencies comparable with "Massive MIMO", with one order of magnitude fewer a...
Abstract: Adaptively adjusting system parameters including bandwidth, transmit power and mode to maximize the "Bits per-Joule" energy efficiency (BPJ-EE) in the downlink MIMO systems with imperfect ch...
In this paper,the main emphasis of the proposed discussion is on the efficiency of estimation of fixed polynomial effects in mired models based on PBIB (partially balanced incomplete block) design. We...
In topological vector spaces, we estalish a Lagrange Multiplier Theorem forproper efficiency of nonconvex vector optimization problems. The saddle point theorems for the scalar-valued Lagrangian fonct...
Consider the model X_t=X_{t-l}β + g(U_t)+ ε_t for t ≥ 1. Here g is an unknownfUnction, β is an unknown parameter to be estimated and εt are i.i.d. with mean 0 andvariance σ^2 and U_t are i.i.d. random...
This paper is concerned with the asymptotic efficiency for two classes oftruncated distributions: f(x;\theta)I_{(\theta\leq x\leq 2\theta)}, and f(x;\theta)I_{(\theta\leq x\leq \theta+1)}. It is shown...
In this paper, authors consider Bahadur asymptotic efficiency of MLE {\bar β}_{ML} of β, which is an unknown parameter vector in the semiparametric regression model Y_i=X_i~T β + g(T_i) + i, where g i...

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