# IEEE Transactions on Signal Processing

## Filter Results

Displaying Results 1 - 25 of 46

Publication Year: 2006, Page(s):c1 - c4
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• ### IEEE Transactions on Signal Processing publication information

Publication Year: 2006, Page(s): c2
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• ### The$H_infty$Fixed-Interval Smoothing Problem for Continuous Systems

Publication Year: 2006, Page(s):4085 - 4090
Cited by:  Papers (8)
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The Hinfin smoothing problem for continuous systems is treated in a state space representation by means of variational calculus techniques. The smoothing problem is introduced in an Hinfin criterion by means of an artificial discontinuity that splits the problem in term of Hinfin forward and Hinfin backward filtering problems. Hence, the smoother design ... View full abstract»

• ### The Gaussian Mixture Probability Hypothesis Density Filter

Publication Year: 2006, Page(s):4091 - 4104
Cited by:  Papers (551)  |  Patents (6)
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A new recursive algorithm is proposed for jointly estimating the time-varying number of targets and their states from a sequence of observation sets in the presence of data association uncertainty, detection uncertainty, noise, and false alarms. The approach involves modelling the respective collections of targets and measurements as random finite sets and applying the probability hypothesis densi... View full abstract»

• ### Cross-Layer Design of Sequential Detectors in Sensor Networks

Publication Year: 2006, Page(s):4105 - 4117
Cited by:  Papers (20)
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A network of sensors polled by a mobile agent (the SENMA paradigm) is used for detection purposes, with both the remote nodes and the mobile agent implementing Wald's sequential tests. When polled, each remote node transmits its local decision (if any) to the agent, and two network/agent communication schemes are considered. One of these is designed with specific care to the network's energy consu... View full abstract»

• ### Distributed Detection in Sensor Networks With Packet Losses and Finite Capacity Links

Publication Year: 2006, Page(s):4118 - 4132
Cited by:  Papers (78)  |  Patents (1)
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We consider the problem of classifying among a set of M hypotheses via distributed noisy sensors. The sensors can collaborate over a communication network and the task is to arrive at a consensus about the event after exchanging messages. We apply a variant of belief propagation as a strategy for collaboration to arrive at a solution to the distributed classification problem. We show that the mess... View full abstract»

• ### Separation of Non-Negative Mixture of Non-Negative Sources Using a Bayesian Approach and MCMC Sampling

Publication Year: 2006, Page(s):4133 - 4145
Cited by:  Papers (107)  |  Patents (3)
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This paper addresses blind-source separation in the case where both the source signals and the mixing coefficients are non-negative. The problem is referred to as non-negative source separation and the main application concerns the analysis of spectrometric data sets. The separation is performed in a Bayesian framework by encoding non-negativity through the assignment of Gamma priors on the distri... View full abstract»

• ### Amplitude Scale Estimation for Quantization-Based Watermarking

Publication Year: 2006, Page(s):4146 - 4155
Cited by:  Papers (38)
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In this paper we propose a maximum likelihood technique to combat amplitude scaling attacks within a quantization-based watermarking context. We concentrate on operations that are common in many applications and at the same time devastating to this class of watermarking schemes, namely, amplitude scaling in combination with additive noise. First we derive the probability density function of the wa... View full abstract»

• ### Blind MIMO System Estimation Based on PARAFAC Decomposition of Higher Order Output Tensors

Publication Year: 2006, Page(s):4156 - 4168
Cited by:  Papers (14)
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We present a novel framework for the identification of a multiple-input multiple-output (MIMO) system driven by white, mutually independent unobservable inputs. Samples of the system frequency response are obtained based on parallel factorization (PARAFAC) of three- or four-way tensors constructed based on, respectively, third- or fourth-order cross spectra of the system outputs. The main difficul... View full abstract»

• ### Context-Sensitive Hidden Markov Models for Modeling Long-Range Dependencies in Symbol Sequences

Publication Year: 2006, Page(s):4169 - 4184
Cited by:  Papers (10)
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The hidden Markov model (HMM) has been widely used in signal processing and digital communication applications. It is well known for its efficiency in modeling short-term dependencies between adjacent symbols. However, it cannot be used for modeling long-range interactions between symbols that are distant from each other. In this paper, we introduce the concept of context-sensitive HMM. The propos... View full abstract»

• ### Generalized Adaptive Notch Filter With a Self-Optimization Capability

Publication Year: 2006, Page(s):4185 - 4193
Cited by:  Papers (10)
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The paper presents a self-optimizing version of a generalized adaptive notch filter (GANF). Generalized adaptive notch filters are used for identification/tracking of quasi-periodically varying dynamic systems and can be considered an extension, to the system case, of classical adaptive notch filters. The tracking properties of a GANF algorithm depend on two adaptation gains, which should be chose... View full abstract»

• ### Joint Blind Adaptive Carrier Frequency Offset Estimation and Channel Shortening

Publication Year: 2006, Page(s):4194 - 4203
Cited by:  Papers (6)
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Multicarrier modulation has the advantage of robustness to multipath, so long as the delay spread of the multipath is less than the guard interval between successive transmitted blocks. However, it has the disadvantage of sensitivity to a carrier frequency offset (CFO), which disrupts the orthogonality of the subcarriers. If a CFO is present, it must be estimated and then corrected. In addition, i... View full abstract»

• ### Bayesian Surface and Underwater Navigation

Publication Year: 2006, Page(s):4204 - 4213
Cited by:  Papers (15)
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A common framework for maritime surface and underwater (UW) map-aided navigation is proposed as a supplement to satellite navigation based on the global positioning system (GPS). The proposed Bayesian navigation method is based on information from a distance measuring equipment (DME) which is compared with the information obtained from various databases. As a solution to the recursive Bayesian nav... View full abstract»

• ### Closed-Form Design of Generalized Maxflat$R$-Regular FIR$M$th-Band Filters Using Waveform Moments

Publication Year: 2006, Page(s):4214 - 4222
Cited by:  Papers (4)
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Mth-band filters have found numerous applications in multirate signal processing systems, filter banks, and wavelets. In this paper, the design problem of generalized maxflat R-regular finite impulse response (FIR) Mth-band filters with a specified integer group delay at omega=0 is considered, and the closed-form expression for its impulse response is presented. The filter coefficients are directl... View full abstract»

• ### Efficient Algorithm for Solving Semi-Infinite Programming Problems and Their Applications to Nonuniform Filter Bank Designs

Publication Year: 2006, Page(s):4223 - 4232
Cited by:  Papers (13)
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An efficient algorithm for solving semi-infinite programming problems is proposed in this paper. The index set is constructed by adding only one of the most violated points in a refined set of grid points. By applying this algorithm for solving the optimum nonuniform symmetric/antisymmetric linear phase finite-impulse-response (FIR) filter bank design problems, the time required to obtain a global... View full abstract»

• ### Interpolating Between Periodicity and Discreteness Through the Fractional Fourier Transform

Publication Year: 2006, Page(s):4233 - 4243
Cited by:  Papers (6)
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Periodicity and discreteness are Fourier duals in the same sense as operators such as coordinate multiplication and differentiation, and translation and phase shift. The fractional Fourier transform allows interpolation between such operators which gradually evolve from one member of the dual pair to the other as the fractional order goes from zero to one. Here, we similarly discuss the interpolat... View full abstract»

• ### Interpolation of Bounded Bandlimited Signals and Applications

Publication Year: 2006, Page(s):4244 - 4260
Cited by:  Papers (10)
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A method to interpolate a bounded bandlimited signal from its own samples with minimum complexity is presented that guarantees an a priori specified accuracy. The method is the result of combining a fast-converging sampling expansion with the Farrow interpolator technique. It provides important complexity reductions in various signal processing applications, from which three cases are studied. For... View full abstract»

• ### Discrete Generalized Fresnel Functions and Transforms in an Arbitrary Discrete Basis

Publication Year: 2006, Page(s):4261 - 4270
Cited by:  Papers (8)
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The idea of generalized Fresnel functions, which traces back to expressing a discrete transform as a linear convolution, is developed in this paper. The generalized discrete Fresnel functions and the generalized discrete Fresnel transforms for an arbitrary basis are considered. This problem is studied using a general algebraic approach to signal processing in an arbitrary basis. The generalized Fr... View full abstract»

• ### Weighted Median Filters for Multichannel Signals

Publication Year: 2006, Page(s):4271 - 4281
Cited by:  Papers (5)
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Weighted medians over multichannel signals are not uniquely defined. Due to its simplicity, Astola 's Vector Median (VM) has received considerable attention particularly in image processing applications. In this paper, we show that the VM and its direct extension the Weighted VM are limited as they do not fully utilize the cross-channel correlation. In fact, VM treats all sub-channel components in... View full abstract»

• ### Trigonometric Polynomials Positive on Frequency Domains and Applications to 2-D FIR Filter Design

Publication Year: 2006, Page(s):4282 - 4292
Cited by:  Papers (31)
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We propose a characterization of multivariate trigonometric polynomials that are positive on a given frequency domain. The positive polynomials are parameterized as a linear function of sum-of-squares polynomials and so semidefinite programming (SDP) is applicable. The frequency domain is expressed via the positivity of some trigonometric polynomials. We also give a bounded real lemma (BRL) in whi... View full abstract»

• ### Network-Based Robust$H_infty$Filtering for Uncertain Linear Systems

Publication Year: 2006, Page(s):4293 - 4301
Cited by:  Papers (83)
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The problem of network-based robust Hinfin filtering for uncertain linear systems is investigated. Different from the design of the traditional filter, the effects of the network-induced delay and data dropout on the performance of a filtering-error system are considered. The derived criteria for Hinfin performance analysis of the filtering-error system and filter design are ... View full abstract»

• ### Roundoff Noise Minimization for 2-D State-Space Digital Filters Using Joint Optimization of Error Feedback and Realization

Publication Year: 2006, Page(s):4302 - 4310
Cited by:  Papers (12)
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The joint optimization problem of error feedback and realization for two-dimensional (2-D) state-space digital filters to minimize the effects of roundoff noise at the filter output subject to L2-norm dynamic-range scaling constraints is investigated. It is shown that the problem can be converted into an unconstrained optimization problem by using linear-algebraic techniques. The uncons... View full abstract»

• ### $rm K$-SVD: An Algorithm for Designing Overcomplete Dictionaries for Sparse Representation

Publication Year: 2006, Page(s):4311 - 4322
Cited by:  Papers (2840)  |  Patents (27)
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In recent years there has been a growing interest in the study of sparse representation of signals. Using an overcomplete dictionary that contains prototype signal-atoms, signals are described by sparse linear combinations of these atoms. Applications that use sparse representation are many and include compression, regularization in inverse problems, feature extraction, and more. Recent activity i... View full abstract»

• ### Volume Registration Using the 3-D Pseudopolar Fourier Transform

Publication Year: 2006, Page(s):4323 - 4331
Cited by:  Papers (18)  |  Patents (4)
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This paper introduces an algorithm for the registration of rotated and translated volumes using the three-dimensional (3-D) pseudopolar Fourier transform, which accurately computes the Fourier transform of the registered volumes on a near-spherical 3-D domain without using interpolation. We propose a three-step procedure. The first step estimates the rotation axis. The second step computes the pla... View full abstract»

• ### Signal Decomposition by Using the S-Method With Application to the Analysis of HF Radar Signals in Sea-Clutter

Publication Year: 2006, Page(s):4332 - 4342
Cited by:  Papers (34)
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This paper presents a new approach to the time-frequency signal analysis and synthesis, using the eigenvalue decomposition method. It is based on the S-method, the time-frequency representation that can produce a distribution equal or close to a sum of the Wigner distributions of individual signal components. The new time-frequency signal decomposition method is evaluated on the simulated and expe... 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

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## Meet Our Editors

Editor-in-Chief
Sergios Theodoridis
University of Athens