# IEEE Transactions on Signal Processing

## Issue 7  Part 1 • July 2008

This issue contains several parts.Go to:  Part 2

## Filter Results

Displaying Results 1 - 25 of 46

Publication Year: 2008, Page(s):C1 - C4
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• ### IEEE Transactions on Signal Processing publication information

Publication Year: 2008, Page(s): C2
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• ### Sample Eigenvalue Based Detection of High-Dimensional Signals in White Noise Using Relatively Few Samples

Publication Year: 2008, Page(s):2625 - 2638
Cited by:  Papers (96)
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The detection and estimation of signals in noisy, limited data is a problem of interest to many scientific and engineering communities. We present a mathematically justifiable, computationally simple, sample-eigenvalue-based procedure for estimating the number of high-dimensional signals in white noise using relatively few samples. The main motivation for considering a sample-eigenvalue-based sche... View full abstract»

• ### Markov Random Field Detection on Two-Dimensional Intersymbol Interference Channels

Publication Year: 2008, Page(s):2639 - 2648
Cited by:  Papers (7)
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We present a novel iterative algorithm for detection of binary Markov random fields (MRFs) corrupted by 2-D intersymbol interference (ISI) and additive white Gaussian noise. We assume a first-order binary MRF as a simple model for correlated images. We assume a 2-D digital storage channel, where the MRF is interleaved before being written and then read by a 2-D transducer; such channels occur in r... View full abstract»

• ### Sensor Selection and Power Allocation for Distributed Estimation in Sensor Networks: Beyond the Star Topology

Publication Year: 2008, Page(s):2649 - 2661
Cited by:  Papers (50)
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Optimal power allocation for distributed parameter estimation in a wireless sensor network with a fusion center under a total network power constraint is considered. For the simple star topology, an analysis of the effect of the measurement noise variance on the optimal power allocation policy is presented. The optimal solution evolves from sensor selection, to water- filling, to channel inversion... View full abstract»

• ### Nondata-Aided I/Q Mismatch and DC Offset Compensation for Direct-Conversion Receivers

Publication Year: 2008, Page(s):2662 - 2668
Cited by:  Papers (9)
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A digital-signal-processing technique is presented that can compensate for the frequency-independent inphase/quadrature (I/Q) mismatch and dc offset in zero-intermediate-frequency direct-conversion receivers. The proposed compensator consists of dc offset and I/Q mismatch estimators followed by a dc offset canceller and self-image suppressor. The estimators are nondata-aided (NDA) schemes that are... View full abstract»

• ### Adaptive Signal Decomposition Based on Local Narrow Band Signals

Publication Year: 2008, Page(s):2669 - 2676
Cited by:  Papers (33)
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We propose an operator-based method of adaptive signal decomposition, whereby a local narrow band signal is defined in the null space of a singular local linear operator. Based on the definition and the algorithm, we propose two types of local narrow band signals and two singular .operator estimation methods for adaptive signal decomposition. We show that our approach can solve a special case of H... View full abstract»

• ### Uncertainty Principle for Real Signals in the Linear Canonical Transform Domains

Publication Year: 2008, Page(s):2677 - 2683
Cited by:  Papers (60)
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The linear canonical transform (LCT) is a generalization of the fractional Fourier transform (FRFT) having applications in several areas of signal processing and optics. In this paper, we extend the uncertainty principle for real signals in the fractional Fourier domains to the linear canonical transform domains, giving us the tighter lower bound on the product of the spreads of the signal in two ... View full abstract»

• ### Semi-Supervised Linear Spectral Unmixing Using a Hierarchical Bayesian Model for Hyperspectral Imagery

Publication Year: 2008, Page(s):2684 - 2695
Cited by:  Papers (105)
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This paper proposes a hierarchical Bayesian model that can be used for semi-supervised hyperspectral image unmixing. The model assumes that the pixel reflectances result from linear combinations of pure component spectra contaminated by an additive Gaussian noise. The abundance parameters appearing in this model satisfy positivity and additivity constraints. These constraints are naturally express... View full abstract»

• ### Consistent Impulse-Response Estimation and System Realization From Noisy Data

Publication Year: 2008, Page(s):2696 - 2705
Cited by:  Papers (6)
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A novel method for the estimation of a finite part of the impulse response is presented. The method is consistent in case the measured output data are prone to colored noise. The combination of Kung's realization algorithm yields a consistent system identification algorithm that is particularly useful for the identification of systems with uncoupled deterministic and stochastic dynamics. This algo... View full abstract»

• ### Spectral Method of Blind Carrier Tracking for OFDM

Publication Year: 2008, Page(s):2706 - 2717
Cited by:  Papers (18)  |  Patents (1)
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We propose an adaptive, low-complexity, blind carrier tracking algorithm that takes advantage of the in-band ripple of the orthogonal frequency-division multiplexing (OFDM) power spectral density (PSD). With the aid of a comb filter, the proposed algorithm tracks the location of the ripple peaks and provides an estimate of the carrier offset. Analytical results are presented that predict the expec... View full abstract»

• ### Stable Edge-Adaptive Multiscale Decompositions Using Updated Normal Offsets

Publication Year: 2008, Page(s):2718 - 2727
Cited by:  Papers (1)
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The normal offset decomposition is an adaptive (nonlinear) multiscale data transform, constructed in a way similar to the lifting scheme for wavelet transforms. The main difference lies in the fact that the detail coefficients are not wavelet coefficients corresponding to a wavelet basis function. Wavelet coefficients carry detail information situated at the location of the basis function. Besides... View full abstract»

• ### Nonuniform Sampling of Periodic Bandlimited Signals

Publication Year: 2008, Page(s):2728 - 2745
Cited by:  Papers (30)
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Digital processing techniques are based on representing a continuous-time signal by a discrete set of samples. This paper treats the problem of reconstructing a periodic bandlimited signal from a finite number of its nonuniform samples. In practical applications, only a finite number of values are given. Extending the samples periodically across the boundaries, and assuming that the underlying con... View full abstract»

• ### Lattice Algorithm for Adaptive Stable Identification and Robust Reconstruction of Nonstationary AR Processes With Missing Observations

Publication Year: 2008, Page(s):2746 - 2754
Cited by:  Papers (3)
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This paper deals with the problem of adaptive reconstruction and identification of nonstationary AR processes with randomly missing observations. Existent methods use a direct realization of the filter. Therefore, the estimated parameters may not correspond to a stable all-pole filter. In addition, when the probability of missing a sample is high, existent methods may converge slowly or even fail ... View full abstract»

• ### Parallel Cyclic Convolution Based on Recursive Formulations of Block Pseudocirculant Matrices

Publication Year: 2008, Page(s):2755 - 2770
Cited by:  Papers (5)
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In this paper, we show how novel recursive formulations of block pseudocirculant matrices lead to a new class of parallel cyclic convolution algorithms that exhibit a high degree of regularity and modularity and are suitable for parallel or pipelined implementation into today's very large scale integration (VLSI) circuits, multifield-programmable gate arrays (multi-FPGAs) systems, and multiprocess... View full abstract»

• ### The $S$-Transform From a Wavelet Point of View

Publication Year: 2008, Page(s):2771 - 2780
Cited by:  Papers (73)
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The S-transform is becoming popular for time-frequency analysis and data-adaptive filtering thanks to its simplicity. While this transform works well in the continuous domain, its discrete version may fail to achieve accurate results. This paper compares and contrasts this transform with the better known continuous wavelet transform, and defines a relation between both. This connection allows a be... View full abstract»

• ### Online Kernel-Based Classification Using Adaptive Projection Algorithms

Publication Year: 2008, Page(s):2781 - 2796
Cited by:  Papers (71)
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The goal of this paper is to derive a novel online algorithm for classification in reproducing kernel hilbert spaces (RKHS) by exploiting projection-based adaptive filtering tools. The paper brings powerful convex analytic and set theoretic estimation arguments in machine learning by revisiting the standard kernel-based classification as the problem of finding a point which belongs to a closed hal... View full abstract»

• ### Gaussian Mixture Modeling by Exploiting the Mahalanobis Distance

Publication Year: 2008, Page(s):2797 - 2811
Cited by:  Papers (39)
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In this paper, the expectation-maximization (EM) algorithm for Gaussian mixture modeling is improved via three statistical tests. The first test is a multivariate normality criterion based on the Mahalanobis distance of a sample measurement vector from a certain Gaussian component center. The first test is used in order to derive a decision whether to split a component into another two or not. The... View full abstract»

• ### Adaptive Acoustic Beamformer With Source Tracking Capabilities

Publication Year: 2008, Page(s):2812 - 2820
Cited by:  Papers (3)
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An adaptive beamforming algorithm that enhances the quality of the signal recorded by a microphone array is presented. The system described here attenuates the interference from spatially scattered sources while preserving the desired signal quality in the speech frequency range. A novel method for defining additional constraints within the adaptation process and performing beamforming in parallel... View full abstract»

• ### A Semiblind Channel Estimation Approach for MIMO–OFDM Systems

Publication Year: 2008, Page(s):2821 - 2834
Cited by:  Papers (41)
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In this paper, a very efficient semiblind approach that uses a training-based least square criterion along with a blind constraint is proposed for multiple-input-multiple-output-orthogonal frequency-division multiplexing (MIMO-OFDM) channel estimation. The blind constraint is derived from the linear prediction of the received MIMO-OFDM signal and is used in conjunction with a weighting factor in t... View full abstract»

• ### A Geometrical Study of Matching Pursuit Parametrization

Publication Year: 2008, Page(s):2835 - 2848
Cited by:  Papers (14)
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This paper studies the effect of discretizing the parametrization of a dictionary used for matching pursuit (MP) decompositions of signals. Our approach relies on viewing the continuously parametrized dictionary as an embedded manifold in the signal space on which the tools of differential (Riemannian) geometry can be applied. The main contribution of this paper is twofold. First, we prove that if... View full abstract»

• ### Gain-Control-Free Near-Efficient Phase Acquisition for QAM Constellations

Publication Year: 2008, Page(s):2849 - 2864
Cited by:  Papers (9)
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This paper introduces a novel, not data aided, phase-offset estimator for quadrature amplitude modulated (QAM) signals. Contrarily to near-efficient existing phase acquisition techniques, this estimator does not require a preliminary gain adjustment stage while its accuracy preserves the slope of Cramer-Rao bound for medium-high signal-to-noise ratio (SNR) ranges, where it typically outperforms ex... View full abstract»

• ### Pilotless Frame Synchronization for LDPC-Coded Transmission Systems

Publication Year: 2008, Page(s):2865 - 2874
Cited by:  Papers (10)  |  Patents (1)
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We present a pilotless frame synchronization approach that exploits feedback from a low-density parity-check (LDPC) code decoder. The synchronizer is based on syndrome checks using hard decisions from the channel observations. The bandwidth overhead associated with pilot symbols in conventional receiver architectures is eliminated while providing sufficient synchronization performance. An LDPC dec... View full abstract»

• ### Global Concave Minimization for Optimal Spectrum Balancing in Multi-User DSL Networks

Publication Year: 2008, Page(s):2875 - 2885
Cited by:  Papers (44)
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Dynamic spectrum management (DSM) is an effective technique for mitigating detrimental effect of crosstalk in digital subscriber lines (DSL). Among various DSM techniques, centralized optimal spectrum balancing (OSB) achieves the maximum possible data rates by computing the optimal power spectral densities (PSDs) for all modems in DSL systems. Unfortunately, its computational complexity grows expo... View full abstract»

• ### Capacity Analysis of MIMO Systems Using Limited Feedback Transmit Precoding Schemes

Publication Year: 2008, Page(s):2886 - 2901
Cited by:  Papers (12)
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This paper employs a high resolution quantization framework to study the effects of finite-rate feedback of the channel state information (CSI) on the performance of multiple-input-multiple-output (MIMO) systems over independently and identically distributed (i.i.d.) Rayleigh flat fading channels. The contributions of this paper are twofold. First, we extend the general distortion analysis of vect... 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
Pier Luigi Dragotti
Imperial College London