This work investigates linear precoding over non-singular linear channels with additive white Gaussian noise, with lattice-type inputs.The aim is to maximize the minimum distance of the received lattice points, where the precoder is subject to an energy constraint. It is shown that the optimal precoder only produces a finite number of different lattices, namely perfect lattices, at the receiver...

Structured estimation methods, such as LASSO, have received considerable attention in recent years and substantial progress has been made in extending such methods to general norms and non-Gaussian design matrices. In real world problems, however, covariates are usually corrupted with noise and there have been efforts to generalize structured estimation method for noisy covariate setting. In th...

We present a histogram-based image retrieval method which is designed specifically for noisy query images. The images are retrieved according to histogram similarity. To reach high robustness to noise, the histograms are described by newly proposed features which are insensitive to a Gaussian additive noise in the original images. The advantage of the new method is proved theoretically and demo...

The amplitude-constrained capacity of a scalar Gaussian channel is shown to be achieved by a unique discrete random variable taking on a finite number of values. Necessary and sufficient conditions for the distribution of this random variable are obtained. These conditions permit determination of the random variable and capacity as a function of the constraint value. The capacity of the same Ga...

This paper presents the Adaptive Wireless Networking (AWGN) project. The project aims to develop methods and technologies that can be used to design efficient adaptable and reconfigurable mobile terminals for future wireless communication systems. An overview of the activities in the project is given. Furthermore our vision on adaptivity in wireless communications and suggestions for future act...

In various applications the problem of separation of the original signal and the noise arises. For example, in the identification problem for discrete linear and causal systems, the original signal consists of the values of transfer function at some points in the unit disk. In this paper we discuss the problem of choosing the points in the unite disk, for which it is possible to remove the addi...

This paper proposes several methods for noise reduction using deterministic side information about the desired signal as a constraint on the reconstruction. Two forms of side information are considered separately: short-time linear predictive coefficients, and short-time zero-phase impulse response coefficients. We derive general expressions for the ML, MAP and MMSE estimators, and develop algo...

When constructing non-parametric models from noisy data, it is useful to have information regarding the statistical properties of the noise distribution. In many cases, such information is not explicitly available, and must be estimated directly from the data. Under the hypothesis of additive noise, algorithms for estimating the variance of the noise distribution have appeared in the literature...

We consider the upper bounds of the finite block length capacity Cn,FB(P ) of the discrete time Gaussian channel with feedback. We prove the refinements of relations Cn(P ) ≤ Cn,FB(P ) ≤ Cn(P ) + 1 2 and Cn(P ) ≤ Cn,FB(P ) ≤ 2Cn(P ), which are given by Cover and Pombra. And we prove the relation C2(P ) ≤ C2,FB(P ) < C2(2P ), which is a partial solution of the conjecture given by Cover.

In this paper we consider the detection of Multi-Carrier-Code Division Multiple Access (MCCDMA) signals in frequency selective fading channels using partial channel equalization. By partially compensating for the fading channel amplitude we can reduce the multi-user interference without considerably enhancing the additive noise level. As a result the MC-CDMA scheme can exploit the frequency div...