# IEEE Transactions on Signal Processing

## Filter Results

Displaying Results 1 - 25 of 43

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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• ### Meridian Filtering for Robust Signal Processing

Publication Year: 2007, Page(s):3949 - 3962
Cited by:  Papers (45)
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A broad range of statistical processes is characterized by the generalized Gaussian statistics. For instance, the Gaussian and Laplacian probability density functions are special cases of generalized Gaussian statistics. Moreover, the linear and median filtering structures are statistically related to the maximum likelihood estimates of location under Gaussian and Laplacian statistics, respectivel... View full abstract»

• ### Marginal Likelihood for Estimation and Detection Theory

Publication Year: 2007, Page(s):3963 - 3974
Cited by:  Papers (7)
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This paper derives and analyzes the asymptotic performances of the maximum-likelihood (ML) estimator and the generalized likelihood ratio test (GLRT) derived under the assumption of independent identically distribution (i.i.d.) samples, where in the actual model the signal samples are m-dependent. The ML and GLRT under such a modeling mismatch are based on the marginal likelihood function, and the... View full abstract»

• ### An Information Geometric Approach to ML Estimation With Incomplete Data: Application to Semiblind MIMO Channel Identification

Publication Year: 2007, Page(s):3975 - 3986
Cited by:  Papers (9)
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In this paper, we cast the stochastic maximum-likelihood estimation of parameters with incomplete data in an information geometric framework. In this vein, we develop the information geometric identification (IGID) algorithm. The algorithm consists of iterative alternating projections on two sets of probability distributions (PDs); i.e., likelihood PDs and data empirical distributions. A Gaussian ... View full abstract»

• ### Resampling of Band-Limited Gaussian Random Signals With Flat Power Spectrum, Available Through 1-Bit Quantized Samples

Publication Year: 2007, Page(s):3987 - 3994
Cited by:  Papers (3)
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A theoretical analysis for the evaluation of the probability of error occurring in resampling a noise-like band-limited Gaussian signal with flat power spectrum available through its digitized samples, is presented. The analysis assumes the use of an ideal sine-based interpolation algorithm for the digitized signal reconstruction, which is proved to be optimum for the considered class of signals a... View full abstract»

• ### Distances and Riemannian Metrics for Spectral Density Functions

Publication Year: 2007, Page(s):3995 - 4003
Cited by:  Papers (44)
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We introduce a differential-geometric structure for spectral density functions of discrete-time random processes. This is quite analogous to the Riemannian structure of information geometry, which is used to study perturbations of probability density functions, and which is based on the Fisher information metric. Herein, we introduce an analogous Riemannian metric, which we motivate with a problem... View full abstract»

• ### Underdetermined Anechoic Blind Source Separation via $ell^{q}$-Basis-Pursuit With $q≪1$

Publication Year: 2007, Page(s):4004 - 4017
Cited by:  Papers (31)
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In this paper, we address the problem of underdetermined blind source separation (BSS) of anechoic speech mixtures. We propose a demixing algorithm that exploits the sparsity of certain time-frequency expansions of speech signals. Our algorithm merges lscrq -basis-pursuit with ideas based on the degenerate unmixing estimation technique (DUET) [Yiotalmaz and Rickard, "Blind Source Separa... View full abstract»

• ### A Mean-Square Stability Analysis of the Least Mean Fourth Adaptive Algorithm

Publication Year: 2007, Page(s):4018 - 4028
Cited by:  Papers (41)
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This paper presents a new convergence analysis of the least mean fourth (LMF) adaptive algorithm, in the mean square sense. The analysis improves previous results, in that it is valid for non-Gaussian noise distributions and explicitly shows the dependence of algorithm stability on the initial conditions of the weights. Analytical expressions are derived presenting the relationship between the ste... View full abstract»

• ### Robustness of the Filtered-X LMS Algorithm— Part I: Necessary Conditions for Convergence and the Asymptotic Pseudospectrum of Toeplitz Matrices

Publication Year: 2007, Page(s):4029 - 4037
Cited by:  Papers (10)
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Errors in the secondary path model of the filtered-x LMS (FXLMS) algorithm will lead to its divergence when the eigenvalues of the cross-correlation matrix between the estimated filtered reference and the true filtered reference signals are not all located in the right half plane. This cross-correlation matrix has a (block) Toeplitz structure whose dimension is determined by the number of adaptive... View full abstract»

• ### Robustness of the Filtered-X LMS Algorithm— Part II: Robustness Enhancement by Minimal Regularization for Norm Bounded Uncertainty

Publication Year: 2007, Page(s):4038 - 4047
Cited by:  Papers (7)
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The relationship between the regularization methods proposed in the literature to increase the robustness of the filtered-X LMS (FXLMS) algorithm is discussed. It is shown that the existing methods are special cases of a more general robust FXLMS algorithm in which particular filters determine the type of regularization. Based on the analysis by Fraanje, Verhaegen, and Elliott [ldquorobustness of ... View full abstract»

• ### A Physically Constrained Maximum-Likelihood Method for Snapshot-Deficient Adaptive Array Processing

Publication Year: 2007, Page(s):4048 - 4063
Cited by:  Papers (15)  |  Patents (1)
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This paper presents a physically constrained maximum-likelihood (PCML) method for spatial covariance matrix and power spectral density estimation as a reduced-rank adaptive array processing algorithm. The physical constraints of propagating energy imposed by the wave equation and the statistical nature of the snapshots are exploited to estimate the ldquotruerdquo maximum-likelihood covariance matr... View full abstract»

• ### Incremental Adaptive Strategies Over Distributed Networks

Publication Year: 2007, Page(s):4064 - 4077
Cited by:  Papers (333)  |  Patents (1)
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An adaptive distributed strategy is developed based on incremental techniques. The proposed scheme addresses the problem of linear estimation in a cooperative fashion, in which nodes equipped with local computing abilities derive local estimates and share them with their predefined neighbors. The resulting algorithm is distributed, cooperative, and able to respond in real time to changes in the en... View full abstract»

• ### Coefficient-Symmetries for Implementing Arbitrary-Order Lagrange-Type Variable Fractional-Delay Digital Filters

Publication Year: 2007, Page(s):4078 - 4090
Cited by:  Papers (44)
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In this paper, we first derive an explicit formula for expressing the coefficients of an arbitrary-order Lagrange-type variable fractional-delay (VFD) digital filter as polynomials of the VFD parameter , and then develop some useful symmetries for both even- and odd-order Lagrange-type VFD filter coefficients. The coefficient-symmetries facilitate the evaluations of VFD filter coefficients as well... View full abstract»

• ### Optimum Receiver Design for Broadband Doppler Compensation in Multipath/Doppler Channels With Rational Orthogonal Wavelet Signaling

Publication Year: 2007, Page(s):4091 - 4103
Cited by:  Papers (13)
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In this paper, we address the issue of signal transmission and Doppler compensation in multipath/Doppler channels. Based on a wavelet-based broadband Doppler compensation structure, this paper presents the design and performance characterization of optimum receivers for this class of communication systems. The wavelet-based Doppler compensation structure takes account of the coexistence of multipl... View full abstract»

• ### Consistent Sampling and Signal Recovery

Publication Year: 2007, Page(s):4104 - 4115
Cited by:  Papers (22)
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An attractive formulation of the sampling problem is based on the principle of a consistent signal reconstruction. The requirement is that the reconstructed signal is indistinguishable from the input in the sense that it yields the exact same measurements. Such a system can be interpreted as an oblique projection onto a given reconstruction space. The standard formulation requires a one-to-one rel... View full abstract»

• ### Nonuniform Interpolation of Noisy Signals Using Support Vector Machines

Publication Year: 2007, Page(s):4116 - 4126
Cited by:  Papers (19)
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The problem of signal interpolation has been intensively studied in the information theory literature, in conditions such as unlimited band, nonuniform sampling, and presence of noise. During the last decade, support vector machines (SVM) have been widely used for approximation problems, including function and signal interpolation. However, the signal structure has not always been taken into accou... View full abstract»

• ### A General Class of Split-Radix FFT Algorithms for the Computation of the DFT of Length-2m

Publication Year: 2007, Page(s):4127 - 4138
Cited by:  Papers (16)
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In this paper, a general class of split-radix fast Fourier transform (FFT) algorithms for computing the length-2m DFT is proposed by introducing a new recursive approach coupled with an efficient method for combining the twiddle factors. This enables the development of higher split-radix FFT algorithms from lower split-radix FFT algorithms without any increase in the arithmetic complexi... View full abstract»

• ### Quadratically Constrained Beamforming Robust Against Direction-of-Arrival Mismatch

Publication Year: 2007, Page(s):4139 - 4150
Cited by:  Papers (62)
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It is well known that the performance of the minimum variance distortionless response (MVDR) beamformer is very sensitive to steering vector mismatch. Such mismatches can occur as a result of direction-of-arrival (DOA) errors, local scattering, near-far spatial signature mismatch, waveform distortion, source spreading, imperfectly calibrated arrays and distorted antenna shape. In this paper, an ad... View full abstract»

• ### On Probing Signal Design For MIMO Radar

Publication Year: 2007, Page(s):4151 - 4161
Cited by:  Papers (296)
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A multiple-input multiple-output (MIMO) radar system, unlike a standard phased-array radar, can choose freely the probing signals transmitted via its antennas to maximize the power around the locations of the targets of interest, or more generally to approximate a given transmit beampattern, and also to minimize the cross-correlation of the signals reflected back to the radar by the targets of int... View full abstract»

• ### Fractional Chirp Scaling Algorithm: Mathematical Model

Publication Year: 2007, Page(s):4162 - 4172
Cited by:  Papers (12)
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In this paper, the new fractional chirp scaling algorithm (FrCSA) is mathematically derived and analyzed from high-resolution SAR imaging point of view. The FrCSA is based on the use of the fractional Fourier transform within the chirp scaling algorithm (CSA). The performance of the FrCSA is compared to that of the classical CSA that is based on the fast Fourier transform (FFT). Simulation results... View full abstract»

• ### A Sequential Detector for Biochemical Release in Realistic Environments

Publication Year: 2007, Page(s):4173 - 4182
Cited by:  Papers (9)
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We develop a sequential detector for the release of a biochemical substance, with potential applications in environmental security. The proposed detector provides online detection of the appearance of a biochemical source in realistic complex environments. To obtain optimal performance, we use an integrated approach combining statistical analysis of measurements given by an array of biochemical se... View full abstract»

• ### The Multitarget Monopulse CRLB for Matched Filter Samples

Publication Year: 2007, Page(s):4183 - 4197
Cited by:  Papers (11)
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It has recently been found that by jointly processing multiple (sum, azimuth-, and elevation-difference) matched filter samples, it is possible to extract and localize several (more than two) targets spaced more closely than the classical interpretation of radar resolution. This paper derives the Cramer-Rao lower bound (CRLB) for sampled monopulse radar data. It is worthwhile to know the limits of... View full abstract»

• ### Blind Signal Separation Using Steepest Descent Method

Publication Year: 2007, Page(s):4198 - 4207
Cited by:  Papers (13)  |  Patents (1)
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A method that significantly improves the convergence rate of the gradient-based blind signal separation (BSS) algorithm for convolutive mixtures is proposed. The proposed approach is based on the steepest descent algorithm suitable for constrained BSS problems, where the constraints are included to ease the permutation effects associated with the convolutive mixtures. In addition, the method is re... View full abstract»

• ### Quantization on the Grassmann Manifold

Publication Year: 2007, Page(s):4208 - 4216
Cited by:  Papers (28)  |  Patents (1)
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The problem of quantization in an Euclidean space with unitary constraints can be formulated as an unconstrained problem on a Grassmann manifold. Such constraints arise in areas such as wireless communication with multiple antennas at the transmitter and at the receiver. Due to the constraints, the distortion rate analysis developed for Euclidean spaces cannot be applied directly. This paper exten... 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