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相关论文: On the SIRs (Signal-to-Interference-Ratio) in Disc…

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It's well-known that in a traditional discrete-time autonomous linear systems, the eigenvalues of the weigth (system) matrix solely determine the stability of the system. If the spectral radius of the system matrix is larger than 1, then…

数据分析、统计与概率 · 物理学 2009-03-18 Zekeriya Uykan

In this paper, we present and analyse two Hopfield-like nonlinear networks, in continuous-time and discrete-time respectively. The proposed network is based on an autonomous linear system with a symmetric weight matrix, which is designed to…

数据分析、统计与概率 · 物理学 2009-09-24 Zekeriya Uykan

In the first part in [12], we present and analyse a Sigmoid-based "Signal-to-Interference Ratio, (SIR)" balancing dynamic network, called Sgm"SIR"NN, which exhibits similar properties as traditional Hopfield NN does, in continuous time. In…

数据分析、统计与概率 · 物理学 2009-03-17 Zekeriya Uykan

Let $\mathbf{s}_k=\frac{1}{\sqrt{N}}(v_{1k},...,v_{Nk})^T,$ with $\{v_{ik},i,k=1,...\}$ independent and identically distributed complex random variables. Write $\mathbf{S}_k=(\mathbf{s}_1,...,\mathbf {s}_{k-1},\mathbf{s}_{k+1},...…

概率论 · 数学 2008-12-18 G. M. Pan , W. Zhou

Continuous-time Hopfield network has been an important focus of research area since 1980s whose applications vary from image restoration to combinatorial optimization from control engineering to associative memory systems. On the other…

数据分析、统计与概率 · 物理学 2009-03-17 Zekeriya Uykan

Let ${\mathbf{s}}_k=\frac{1}{\sqrt{N}}(v_{1k},...,v_{Nk})^T,$ $k=1,...,K$, where $\{v_{ik},i,k$ $=1,...\}$ are independent and identically distributed random variables with $Ev_{11}=0$ and $Ev_{11}^2=1$. Let…

概率论 · 数学 2007-05-23 Guang-Ming Pan , Mei-Hui Guo , Wang Zhou

Signal-to-interference plus noise ratio (SINR) and rate fairness in a system are substantial quality-of-service (QoS) metrics. The acclaimed SINR maximization (max-SINR) algorithm does not achieve fairness between user's streams, i.e.,…

信息论 · 计算机科学 2016-11-17 Cenk M. Yetis , Yong Zeng , Kushal Anand , Yong Liang Guan , Erry Gunawan

Let $\mathbf{x_1}, ..., \mathbf{x_t} \in \mathbb{R}^{n}$. A simultaneous integer relation (SIR) for $\mathbf{x_1}, ..., \mathbf{x_t}$ is a vector $\mathbf{m} \in \mathbb{Z}^{n}\setminus\{\textbf{0}\}$ such that $\mathbf{x_i}^T\mathbf{m} =…

符号计算 · 计算机科学 2010-01-25 Chen Jing-wei , Feng Yong , Qin Xiao-lin , Zhang Jing-zhong

Interference alignment (IA), given uncorrelated channel components and perfect channel state information, obtains the maximum degrees of freedom in an interference channel. Little is known, however, about how the sum rate of IA behaves at…

信息论 · 计算机科学 2012-07-19 Behrang Nosrat-Makouei , Jeffrey G. Andrews , Robert W. Heath

In this research paper approximate mean of signal-to-interference-plus-noise ratio (SINR) under imperfect channel state information (CSI) is computed and maximized for throughput enhancement of MIMO interference networks. Each transmitter…

信息论 · 计算机科学 2018-08-03 Ali Dalir , Hassan Aghaeinia

The Semi-Implicit Root solver (SIR) is an iterative method for globally convergent solution of systems of nonlinear equations. Since publication, SIR has proven robustness for a great variety of problems. We here present MATLAB and MAPLE…

计算物理 · 物理学 2017-04-14 Jan Scheffel , Kristoffer Lindvall

Traditional approaches focus on finding relationships between two entire time series, however, many interesting relationships exist in small sub-intervals of time and remain feeble during other sub-intervals. We define the notion of a…

机器学习 · 计算机科学 2019-06-05 Saurabh Agrawal , Saurabh Verma , Anuj Karpatne , Stefan Liess , Snigdhansu Chatterjee , Vipin Kumar

Deep learning has demonstrated its power in image rectification by leveraging the representation capacity of deep neural networks via supervised training based on a large-scale synthetic dataset. However, the model may overfit the synthetic…

计算机视觉与模式识别 · 计算机科学 2021-06-21 Jinlong Fan , Jing Zhang , Dacheng Tao

For multiple index models, it has recently been shown that the sliced inverse regression (SIR) is consistent for estimating the sufficient dimension reduction (SDR) space if and only if $\rho=\lim\frac{p}{n}=0$, where $p$ is the dimension…

统计理论 · 数学 2018-06-19 Qian Lin , Zhigen Zhao , Jun S. Liu

This paper is devoted to the performance study of the Linear Minimum Mean Squared Error estimator for multidimensional signals in the large dimension regime. Such an estimator is frequently encountered in wireless communications and in…

信息论 · 计算机科学 2008-10-13 Abla Kammoun , Malika Kharouf , Walid Hachem , Jamal Najim

This chapter reviews the fundamentals of continuous and discrete Linear Time-Invariant (LTI) systems with Single Input-Single Output (SISO). We start from the general notions of signals and systems, the signal representation problem and the…

最优化与控制 · 数学 2022-08-26 Miguel A. Mendez

It remains an open problem to find the optimal configuration of phase shifts under the discrete constraint for intelligent reflecting surface (IRS) in polynomial time. The above problem is widely believed to be difficult because it is not…

信息论 · 计算机科学 2023-09-08 Shuyi Ren , Kaiming Shen , Xin Li , Xin Chen , Zhi-Quan Luo

Next-generation intensity-modulation (IM) and direct-detection (DD) systems used in data centers are expected to operate at 400 Gb/s/lane and beyond. Such rates can be achieved by increasing the system bandwidth or the modulation format,…

信号处理 · 电气工程与系统科学 2025-06-25 Felipe Villenas , Kaiquan Wu , Yunus Can Gültekin , Jamal Riani , Alex Alvarado

We introduce a simple yet powerful and versatile analytical framework to approximate the SIR distribution in the downlink of cellular systems. It is based on the mean interference-to-signal ratio and yields the horizontal gap (SIR gain)…

信息论 · 计算机科学 2014-06-12 Martin Haenggi

We provide here a framework to analyze the phase transition phenomenon of slice inverse regression (SIR), a supervised dimension reduction technique introduced by \cite{Li:1991}. Under mild conditions, the asymptotic ratio $\rho= \lim p/n$…

统计理论 · 数学 2016-11-22 Qian Lin , Zhigen Zhao , Jun S. Liu
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