# IEEE Transactions on Signal Processing

## Issue 5  Part 2 • May 2007

This issue contains several parts.Go to:  Part 1

## Filter Results

Displaying Results 1 - 25 of 41

Publication Year: 2007, Page(s):C1 - C4
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• ### IEEE Transactions on Signal Processing publication information

Publication Year: 2007, Page(s): C2
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• ### Performance Analysis of Iterative Channel Estimation and Multiuser Detection in Multipath DS-CDMA Channels

Publication Year: 2007, Page(s):1981 - 1993
Cited by:  Papers (19)
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This paper examines the performance of decision-feedback-based iterative channel estimation and multiuser detection in channel coded aperiodic direct sequence code division multiple-access systems operating over multipath fading channels. First, explicit expressions describing the performance of channel estimation and parallel interference-cancellation-based multiuser detection are developed. Thes... View full abstract»

• ### Offline and Real-Time Methods for ML-PDA Track Validation

Publication Year: 2007, Page(s):1994 - 2006
Cited by:  Papers (19)
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We present two procedures for validating track estimates obtained using the maximum-likelihood probabilistic data association (ML-PDA) algorithm. The ML-PDA, developed for very low observable (VLO) target tracking, always provides a track estimate that must then be tested for target existence by comparing the value of the log likelihood ratio (LLR) at the track estimate to a threshold. Using extre... View full abstract»

• ### Signal-Selective DOA Tracking for Wideband Cyclostationary Sources

Publication Year: 2007, Page(s):2007 - 2015
Cited by:  Papers (12)
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In this paper, a new signal-selective direction-of-arrival (DOA) tracking algorithm is presented for moving sources emitting narrowband or wideband cyclostationary signals. In this algorithm, DOAs of the sources are updated recursively based on the most current array output in a way that no data association is needed. Furthermore, by exploiting cyclostationarity, interference and noise are suppres... View full abstract»

• ### Weiss–Weinstein Lower Bounds for Markovian Systems. Part 1: Theory

Publication Year: 2007, Page(s):2016 - 2030
Cited by:  Papers (8)
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Being essentially free from regularity conditions, the Weiss-Weinstein estimation error lower bound can be applied to a larger class of systems than the well-known Crameacuter-Rao lower bound. Thus, this bound is of special interest in applications involving hybrid systems, i.e., systems with both continuously and discretely distributed parameters, which can represent, in practice, fault-prone sys... View full abstract»

• ### Weiss–Weinstein Lower Bounds for Markovian Systems. Part 2: Applications to Fault-Tolerant Filtering

Publication Year: 2007, Page(s):2031 - 2042
Cited by:  Papers (9)
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Characterized by sudden structural changes, fault-prone systems are modeled using the framework of systems with switching parameters or hybrid systems. Since a closed-form mean-square optimal filtering algorithm for this class of systems does not exist, it is of particular interest to derive a lower bound on the state estimation error covariance. The well known Crameacuter-Rao bound is not applica... View full abstract»

• ### Estimation of the Sinusoidal Signal Frequency Based on the Marginal Median DFT

Publication Year: 2007, Page(s):2043 - 2051
Cited by:  Papers (17)
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The marginal-median discrete Fourier transform (DFT) is used for estimation of complex sinusoidal signals embedded in an impulse noise environment. Expression for the marginal-median DFT of the sinusoidal signal in the neighborhood of the exact frequency is derived. Two specific displacement techniques are proposed in order to achieve an accurate estimation of frequency displaced from the frequenc... View full abstract»

• ### Factor-Graph Algorithms for Equalization

Publication Year: 2007, Page(s):2052 - 2065
Cited by:  Papers (21)
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In this paper, we use the factor-graph framework to describe the statistical relationships that arise in the equalization of data transmitted over an intersymbol interference channel, and use it to develop several new algorithms for linear and decision feedback approaches. Specifically, we examine both unconstrained and constrained linear equalization and decision feedback equalization of a sequen... View full abstract»

• ### Discrete Time-Frequency Characterizations of Dispersive Linear Time-Varying Systems

Publication Year: 2007, Page(s):2066 - 2076
Cited by:  Papers (14)
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A class of linear time-varying systems can be characterized by dispersive signal transformations, such as nonlinear shifts in the phase of the propagating signal, causing different frequencies to be shifted in time by different amounts. In this paper, we propose a discrete time-frequency model to decompose the dispersive system output into discrete dispersive frequency shifts and generalized time ... View full abstract»

• ### Exact Convergence Analysis of Adaptive Filter Algorithms Without the Persistently Exciting Condition

Publication Year: 2007, Page(s):2077 - 2083
Cited by:  Papers (5)
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Exact convergence analysis of the recursive least square and least mean square (LMS) algorithms in adaptive filtering is presented for the case of sinusoidal signal cancellation without the persistently exciting condition. This situation occurs when the number of tap coefficients of the adaptive filter exceeds that of the complex sinusoids in the input signal. The convergent point of both algorith... View full abstract»

• ### Statistical Analysis of the LMS Algorithm Applied to Super-Resolution Image Reconstruction

Publication Year: 2007, Page(s):2084 - 2095
Cited by:  Papers (17)  |  Patents (1)
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Super resolution reconstruction of image sequences is highly dependent on quality of the motion estimation between successive frames. This work presents a statistical analysis of the least mean square (LMS) algorithm applied to super resolution reconstruction of an image sequence with translational global motion. Deterministic recursions are derived for the mean and mean square behaviors of the re... View full abstract»

• ### Variable Explicit Regularization in Affine Projection Algorithm: Robustness Issues and Optimal Choice

Publication Year: 2007, Page(s):2096 - 2109
Cited by:  Papers (42)
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A variable regularized affine projection algorithm (VR-APA) is introduced, without requiring the classical step size. Its use is supported from different points of view. First, it has the property of being Hinfin optimal and it satisfies certain error energy bounds. Second, the time-varying regularization parameter is obtained by maximizing the speed of convergence of the algorithm. Alt... View full abstract»

• ### Low-Delay Nonuniform Pseudo-QMF Banks With Application to Speech Enhancement

Publication Year: 2007, Page(s):2110 - 2121
Cited by:  Papers (13)
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This paper presents a method for designing low-delay nonuniform pseudo quadrature mirror filter (QMF) banks. This method is motivated by the work of Li, Nguyen, and Tantaratana, in which the nonuniform filter bank is realized by combining an appropriate number of adjacent sub-bands of a uniform pseudo-QMF bank. In prior work, the prototype filter of the uniform pseudo-QMF bank was constrained to h... View full abstract»

• ### Roundoff Noise Analysis of Signals Represented Using Signed Power-of-Two Terms

Publication Year: 2007, Page(s):2122 - 2135
Cited by:  Papers (7)
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It is a well-known fact that the multiplication of a number by an integer power-of-two is a very simple process in binary arithmetic. Hence, digital filters whose coefficient values are integer power-of-two are essentially multiplierless. The design of digital filters with power-of-two coefficient values require time-consuming optimization process and may not always be possible in some application... View full abstract»

• ### On the Approximation of $L_{2}$ Inner Products From Sampled Data

Publication Year: 2007, Page(s):2136 - 2144
Cited by:  Papers (10)
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Most signal processing applications are based on discrete-time signals although the origin of many sources of information is analog. In this paper, we consider the task of signal representation by a set of functions. Focusing on the representation coefficients of the original continuous-time signal, the question considered herein is to what extent the sampling process keeps algebraic relations, su... View full abstract»

• ### Polyphase Representation of Multirate Nonlinear Filters and Its Applications

Publication Year: 2007, Page(s):2145 - 2157
Cited by:  Papers (15)
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This paper proposes a polyphase representation for nonlinear filters, especially for Volterra filters. To derive the new realizations the well-known linear polyphase theory is extended to the nonlinear case. Both the upsampling and downsampling cases are considered. As in the linear case (finite-impulse response filters), neither the input signal nor the Volterra kernels must fulfil constraints in... View full abstract»

• ### An EVD Algorithm for Para-Hermitian Polynomial Matrices

Publication Year: 2007, Page(s):2158 - 2169
Cited by:  Papers (69)  |  Patents (1)
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An algorithm for computing the eigenvalue decomposition of a para-Hermitian polynomial matrix is described. This amounts to diagonalizing the polynomial matrix by means of a paraunitary "similarity" transformation. The algorithm makes use of "elementary paraunitary transformations" and constitutes a generalization of the classical Jacobi algorithm for conventional Hermitian matrix diagonalization.... View full abstract»

• ### ${Q}$-Learning Algorithms for Constrained Markov Decision Processes With Randomized Monotone Policies: Application to MIMO Transmission Control

Publication Year: 2007, Page(s):2170 - 2181
Cited by:  Papers (40)
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This paper presents novel Q-learning based stochastic control algorithms for rate and power control in V-BLAST transmission systems. The algorithms exploit the supermodularity and monotonic structure results derived in the companion paper. Rate and power control problem is posed as a stochastic optimization problem with the goal of minimizing the average transmission power under the constraint on ... View full abstract»

• ### Globally Convergent Deflationary Instantaneous Blind Source Separation Algorithm for Digital Communication Signals

Publication Year: 2007, Page(s):2182 - 2192
Cited by:  Papers (13)
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Recently an instantaneous blind source separation (BSS) approach that exploits the bounded magnitude structure of digital communications signals has been introduced. In this paper, we introduce a deflationary adaptive algorithm based on this criterion and provide its convergence analysis. We show that the resulting algorithm is convergent to one of the globally optimal points that correspond to pe... View full abstract»

• ### Fundamental Limitations on the Number of Resolvable Emitters Using a Geolocation System

Publication Year: 2007, Page(s):2193 - 2202
Cited by:  Papers (6)
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We derive conditions for unique geolocation of multiple radio-frequency emitters using a general observation model. These conditions specify the maximum number of emitters that can be uniquely located by a geolocation system, often referred to as the resolution capacity (RC). Our derivations extend previously published results for geolocation based on angle-of-arrival (AOA) estimation. We show tha... View full abstract»

• ### Nonstationary Hidden Markov Models for Multiaspect Discriminative Feature Extraction From Radar Targets

Publication Year: 2007, Page(s):2203 - 2214
Cited by:  Papers (17)
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This paper presents a new scheme for radar target recognition, in which we fuse sequential radar echoes from multiple target-radar aspect angles. The nonstationary hidden Markov model (NSHMM) is employed to characterize the sequential information contained in multiaspect radar echoes. Features from echoes are extracted via the multirelax algorithm, and moments are used to reduce the extracted-feat... View full abstract»

• ### Evaluation of Transmit Diversity in MIMO-Radar Direction Finding

Publication Year: 2007, Page(s):2215 - 2225
Cited by:  Papers (140)
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It has been recently shown that multiple-input multiple-output (MIMO) antenna systems have the potential to dramatically improve the performance of communication systems over single antenna systems. Unlike beamforming, which presumes a high correlation between signals either transmitted or received by an array, the MIMO concept exploits the independence between signals at the array elements. In co... View full abstract»

• ### Pilot-Assisted Time-Varying Channel Estimation for OFDM Systems

Publication Year: 2007, Page(s):2226 - 2238
Cited by:  Papers (227)  |  Patents (15)
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In this paper, we deal with channel estimation for orthogonal frequency-division multiplexing (OFDM) systems. The channels are assumed to be time-varying (TV) and approximated by a basis expansion model (BEM). Due to the time-variation, the resulting channel matrix in the frequency domain is no longer diagonal, but approximately banded. Based on this observation, we propose novel channel estimator... View full abstract»

• ### Generalized Signal Richness Preservation Problem and Vandermonde-Form Preserving Matrices

Publication Year: 2007, Page(s):2239 - 2250
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In this paper, a theoretical problem arising in digital communications, namely the generalized signal richness preservation problem, is addressed and studied. In order to solve the problem, a special class of square matrices, namely the "Vandermonde-form preserving" (VFP) matrices, is introduced and found to be highly relevant to the problem. Several properties of VFP matrices are studied in detai... View full abstract»

## Aims & Scope

IEEE Transactions on Signal Processing covers novel theory, algorithms, performance analyses and applications of techniques for the processing, understanding, learning, retrieval, mining, and extraction of information from signals

Full Aims & Scope

## Meet Our Editors

Editor-in-Chief
Sergios Theodoridis
University of Athens