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**11111111**22 minutes agoIn this paper, interference management is considered for the K-user multiple-input single-output (MISO) block-faded interference channel. It is assumed that perfect channel state information (CSI) can be obtained at the receivers, whereas only channel distribution information (CDI) is available to the transmitters. Furthermore, the receivers are assumed to be capable of implementing opportunist...

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**lerire**22 minutes agoSource separation consists of separating a signal into additive components. It is a topic of considerable interest with many applications that has gathered much attention recently. Here, we introduce a new framework for source separation called Kernel Additive Modelling, which is based on local regression and permits efficient separation of multidimensional and/or nonnegative and/or non-regular...

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**siohioreng**22 minutes agoThis paper designs and extensively evaluates an online algorithm, called practical recursive projected compressive sensing (Prac-ReProCS), for recovering a time sequence of sparse vectors $S_{t}$ and a time sequence of dense vectors $L_{t}$ from their sum, $M_{t}:=S_{t}+L_{t}$, when the $L_{t}$ 's lie in a slowly changing low-dimensional subspace of the full space. A key application where this...

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**bhb4paent**22 minutes agoThe joint statistics of partial sums of ordered random variables (RVs) are often needed for the accurate performance characterization of a wide variety of wireless communication systems. A unified analytical framework to determine the joint statistics of partial sums of ordered independent and identically distributed (i.i.d.) random variables was recently presented. However, the identical distr...

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**eaono2095**22 minutes agoBy assuming latent sources are statistically independent, independent component analysis separates underlying sources from a given linear mixture. Since in many applications, latent sources are both non-Gaussian and have sample dependence, it is desirable to exploit both properties jointly. In this paper, we use mutual information rate to construct a general framework for analysis and derivatio...

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**GavyRyker**22 minutes agoEstimation of the dimension of the signal subspace, or order detection, is one of the key issues in many signal processing problems. Information theoretic criteria are widely used to estimate the order under the independently and identically distributed (i.i.d.) sampling assumption. However, in many applications, the i.i.d. sampling assumption does not hold. Previous approaches address the depe...

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**lidiag12**22 minutes agoWhile most short-time discrete Fourier transform-based single-channel speech enhancement algorithms only modify the noisy spectral amplitude, in recent years the interest in phase processing has increased in the field. The goal of this paper is twofold. First, we derive Bayesian probability density functions and estimators for the clean speech phase when different amounts of prior knowledge abo...

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**jhn84wllms**22 minutes agoIn this paper, an active channel, between a source and a destination, refers to a parallel channel where the source transmits power over different subchannels as well as the powers of the subchannels can be adjusted. We herein study the sum-rate maximization for an active channel subject to two constraints, one on the source total transmit power and one on the total channel power. Although this...

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**kimmylittle34**22 minutes agoSparse coding encodes natural stimuli using a small number of basis functions known as receptive fields. In this work, we design custom hardware architectures for efficient and high-performance implementations of a sparse coding algorithm called the sparse and independent local network (SAILnet). A study of the neuron spiking dynamics uncovers important design considerations involving the neura...

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**horclo**22 minutes agoThe mathematician Ramanujan introduced a summation in 1918, now known as the Ramanujan sum $c_q(n)$ . In a companion paper (Part I), properties of Ramanujan sums were reviewed, and Ramanujan subspaces ${cal S}_q$ introduced, of which the Ramanujan sum is a member. In this paper, the problem of representing finite duration (FIR) signals based on Ramanujan sums and spaces is considered. First, it...

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**daagdowiso**22 minutes agoThe famous mathematician S. Ramanujan introduced a summation in 1918, now known as the Ramanujan sum $c_q(n)$ . For any fixed integer $q$ , this is a sequence in $n$ with periodicity $q$ . Ramanujan showed that many standard arithmetic functions in the theory of numbers, such as Euler’s totient function $phi(n)$ and the Möbius function $mu (n)$, can be expressed as linear combin...

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**CadJohnath**22 minutes agoAdaptive networks are suitable for decentralized inference tasks. Recent works have intensively studied distributed optimization problems in the case where the nodes have to estimate a single optimum parameter vector collaboratively. However, there are many important applications that are multitask-oriented in the sense that there are multiple optimum parameter vectors to be inferred simultaneo...

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**ReynaSanto**22 minutes agoThis paper studies the sum rate performance of a low complexity quantized CSI-based Tomlinson–Harashima (TH) precoding scheme for downlink multiuser MIMO transmission, employing greedy user selection. The asymptotic distribution of the output-signal-to-interference-plus-noise ratio of each selected user and the asymptotic sum rate as the number of users $K$ grows large are derived by us...

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**luthan2332**22 minutes agoThis paper focuses on the estimation of the instantaneous amplitude, phase, and unbalance parameters in three-phase power systems. Due to the particular structure of three-phase systems, we demonstrate that the maximum-likelihood estimates (MLEs) of the unknown parameters have simple closed-form expressions and can be easily implemented without matrix algebra libraries. We also derive and analy...

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**vatez**33 minutes agoDue to the development of internet technology peer to peer video streaming have become more widespread in latest years. These systems exploit the upload bandwidth of every peer to provide services to other peers. In this paper we conducted a survey on the P2P video streaming systems. Moreover we examined the advantages and limitations of the existing systems.