Learning graphical models for hypothesis testing and classification
Sparse graphical models have proven to be a flexible class of multivariate probability models for approximating high-dimensional distributions. In this paper, we propose techniques to exploit this modeling ability for binary classification by ...
Data-aided SNR estimation in time-variant Rayleigh fading channels
This paper addresses the data-aided (DA) signal-to-noise ratio (SNR) estimation for constant modulus modulations over time-variant flat Rayleigh fading channels. The time-variant fading channel is modeled by considering the Jakes' model and the first ...
Enhanced illumination sensing using multiple harmonics for LED lighting systems
This paper considers frequency division multiplexing (FDM) based illumination sensing in light emitting diode (LED) lighting systems. The purpose of illumination sensing is to identify the illumination contributions of spatially distributed LEDs at a ...
Bearings-only target motion analysis via instrumental variable estimation
This paper deals with the instrumental variable (IV) estimation for the problem of target motion analysis from bearingonly measurements (BO-TMA). By taking asymptotical analysis of the IV estimation, a systematic method for developing consistent IV ...
Barankin-type lower bound on multiple change-point estimation
We compute lower bounds on the mean-square error of multiple change-point estimation. In this context, the parameters are discrete and the Cramér-Rao bound is not applicable. Consequently, we focus on computing the Barankin bound (BB), the greatest ...
On construction and simulation of autoregressive sources with near-laplace marginals
In this paper, we focus upon the problem of modeling and simulation of stationary non-Gaussian time series. In particular, we consider a first order autoregressive process whose marginal distribution is close to the Laplace density. This model allows us ...
A hierarchical Bayesian model for frame representation
In many signal processing problems, it is fruitful to represent the signal under study in a frame. If a probabilistic approach is adopted, it becomes then necessary to estimate the hyperparameters characterizing the probability distribution of the frame ...
Adaptive target detection with application to through-the- wall radar imaging
An adaptive detection scheme is proposed for radar imaging. The proposed detector is a postprocessing scheme derived for one-, two-, and three-dimensional data, and applied to throught-the-wall imaging using synthetic aperture radar. The target image ...
Effortless critical representation of laplacian pyramid
The Laplacian pyramid (LP) is a multiresolution representation introduced originally for images, and it has been used in many applications. A major shortcoming of the LP representation is that it is oversampled. The dependency among the LP coefficients ...
Two-dimensional 2× oversampled DFT modulated filter banks and critically sampled modified DFT modulated filter banks
This paper investigates two-dimensional (2D) 2x oversampled DFT modulated filter banks and 2D critically sampled modified DFT (MDFT) modulated filter banks as well as their design. The structure and perfect reconstruction (PR) condition of 2D 2x ...
A spectral approach for sifting process in empirical mode decomposition
In this paper, we propose an alternative to the algorithmic definition of the sifting process used in the original Huang's empirical mode decomposition (EMD) method. Although it has been proven to be particularly effective in many applications, EMD ...
Regularized sampling of multiband signals
This paper presents a regularized sampling method for multiband signals, that makes it possible to approach the Landau limit, while keeping the sensitivity to noise and perturbations at a low level. The method is based on band-limited windowing, ...
No-go theorem for linear systems on bounded bandlimited signals
In this paper we analyze the existence of efficient bandpass-type systems for the space of bounded bandlimited signals. Here efficient means that the system fulfills the following properties: every output signal contains only frequencies within the ...
A closed-form robust chinese remainder theorem and its performance analysis
Chinese remainder theorem (CRT) reconstructs an integer from its multiple remainders that is well-known not robust in the sense that a small error in a remainder may cause a large error in the reconstruction. A robust CRT has been recently proposed when ...
Distributed learning in multi-armed bandit with multiple players
We formulate and study a decentralized multiarmed bandit (MAB) problem. There are M distributed players competing for N independent arms. Each arm, when played, offers i.i.d. reward according to a distribution with an unknown parameter. At each time, ...
Single antenna power measurements based direction finding
In this paper, the problem of estimating direction-of-arrival (DOA) of multiple uncorrelated sources from single antenna power measurements is addressed. Utilizing the fact that the antenna pattern is bandlimited and can be modeled as a finite sum of ...
Tensor algebra and multidimensional harmonic retrieval in signal processing for MIMO radar
Detection and estimation problems in multiple-input multiple-output (MIMO) radar have recently drawn considerable interest in the signal processing community. Radar has long been a staple of signal processing, and MIMO radar presents challenges and ...
Low complexity equalization for doubly selective channels modeled by a basis expansion
We propose a novel equalization method for doubly selective wireless channels, whose taps are represented by an arbitrary Basis Expansion Model (BEM). We view such a channel in the time domain as a sum of product-convolution operators created from the ...
Tensor-based channel estimation and iterative refinements for two-way relaying with multiple antennas and spatial reuse
Relaying is one of the key technologies to satisfy the demands of future mobile communication systems. In particular, two-way relaying is known to exploit the radio resources in a very efficient manner. In this contribution, we consider two-way relaying ...
A class of channels resulting in ill-convergence for CMA in decision feedback equalizers
This paper analyzes the convergence of the constant modulus algorithm (CMA) in a decision feedback equalizer using only a feedback filter. Several works had already observed that the CMA presented a better performance than decision directed algorithm in ...
An optimal basis of band-limited functions for signal analysis and design
This paper studies signal concentration in the time and frequency domains using the general constrained variational method of Franks. The minimum kth (k = 0, 2, 4,....) moment time-duration measure for band-limited signals is formulated. A complete, ...
A Monte Carlo implementation of the SAGE algorithm for joint soft-multiuser decoding, channel parameter estimation, and code acquisition
This paper presents an iterative scheme for joint timing acquisition, multi-channel parameter estimation, and multiuser soft-data decoding. As an example, an asynchronous convolutionally coded direct-sequence code-division multiple-access system is ...
A nondata-aided SNR estimation technique for multilevel modulations exploiting signal cyclostationarity
Signal-to-noise ratio (SNR) estimators of linear modulation schemes usually operate at one sample per symbol at the matched filter output. In this paper we propose a new method for estimating the SNR in the complex additive white Gaussian noise (AWGN) ...
Zero-forcing DFE transceiver design over slowly time-varying MIMO channels using ST-GTD
This paper considers the optimization of transceivers with decision feedback equalizers (DFE) for slowly time-varying memoryless multi-input multi-output (MIMO) channels. The data vectors are grouped into space-time blocks (ST-blocks) for the spatial ...
Exploiting channel angular domain information for precoder design in distributed antenna systems
In this paper, the benefit of linear precoding along with distributed orthogonal space time block codes (OSTBCs) is exploited to improve the performance of distributed antenna system (DAS). In particular, we propose a novel precoder design method based ...
Robust MMSE precoding in MIMO channels with pre-fixed receivers
In this paper, we design robust precoders, under the minimum mean square error (MMSE) criterion, for different types of channel state information (CSI) in multiple-input multiple-output (MIMO) channels. We consider low-complexity pre-fixed receivers ...
A linear programming receiver for blind detection of full rate space-time block codes
We present a new approach to the blind detection of full rate space-time block coded transmissions. Our method is based on linear programming and is globally convergent. We exploit the implicit structure of space-time block codes to cast the problem as ...
Robust minimax MSE equalizer designs for MIMO wireless communications with time-varying channel uncertainties
In this paper, we propose robust equalizers based on a minimax mean-squares-error (MSE) scheme for wireless multi-input-multi-output (MIMO) communications subject to time-varying channel uncertainties. We consider channel uncertainties within a ...
Multimode antenna selection for MIMO amplify-and-forward relay systems
Obtaining the most from multiple-antenna relay systems requires algorithms that configure the source and relay adaptively to instantaneous channel conditions. In this paper, we define an antenna selection mode of operation as the number of selected ...
Cooperative positioning in underwater sensor networks
We consider cooperative positioning using acoustic range measurements for underwater sensor networks, including networks formed by autonomous unmanned underwater vehicles (UUVs). Severe multipath scattering from the seabed and ocean surface can result ...
