Scheduled System Maintenance
On Tuesday, May 22, IEEE Xplore will undergo scheduled maintenance. Single article sales and account management will be unavailable
from 6:00am–5:00pm ET. There may be intermittent impact on performance from noon–6:00pm ET.
We apologize for the inconvenience.

# IEEE Transactions on Signal Processing

## Filter Results

Displaying Results 1 - 25 of 45
• ### Table of contents

Publication Year: 2010, Page(s):C1 - C4
| PDF (131 KB)
• ### IEEE Transactions on Signal Processing publication information

Publication Year: 2010, Page(s): C2
| PDF (40 KB)
• ### Optimal Filter Designs for Separating and Enhancing Periodic Signals

Publication Year: 2010, Page(s):5969 - 5983
Cited by:  Papers (26)
| | PDF (1336 KB) | HTML

In this paper, we consider the problem of separating and enhancing periodic signals from single-channel noisy mixtures. More specifically, the problem of designing filters for such tasks is treated. We propose a number of novel filter designs that 1) are specifically aimed at periodic signals, 2) are optimal given the observed signal and thus signal adaptive, 3) offer full parametrizations of peri... View full abstract»

• ### Detection Algorithms to Discriminate Between Radar Targets and ECM Signals

Publication Year: 2010, Page(s):5984 - 5993
Cited by:  Papers (33)
| | PDF (569 KB) | HTML

We address adaptive detection of coherent signals backscattered by possible point-like targets or originated from electronic countermeasure (ECM) systems in presence of thermal noise, clutter, and possible noise-like interferers. In order to come up with a class of decision schemes capable of discriminating between targets and ECM signals, we resort to generalized likelihood ratio test (GLRT) impl... View full abstract»

• ### Quickest Detection in Multiple On–Off Processes

Publication Year: 2010, Page(s):5994 - 6006
Cited by:  Papers (37)
| | PDF (668 KB) | HTML

We consider the quickest detection of idle periods in multiple ON-OFF processes. At each time, only one process can be observed, and the observations are random realizations drawn from two different distributions depending on the current state (ON or OFF) of the chosen process. The objective is to catch an idle period in any of the ON-OFF processes as quickly as possible subject to a reliability c... View full abstract»

• ### Noise Invalidation Denoising

Publication Year: 2010, Page(s):6007 - 6016
Cited by:  Papers (12)
| | PDF (947 KB) | HTML

A denoising technique based on noise invalidation is proposed. The adaptive approach derives a noise signature from the noise order statistics and utilizes the signature to denoise the data. The novelty of this approach is in presenting a general-purpose denoising in the sense that it does not need to employ any particular assumption on the structure of the noise-free signal, such as data smoothne... View full abstract»

• ### SNR Estimation Over SIMO Channels From Linearly Modulated Signals

Publication Year: 2010, Page(s):6017 - 6028
Cited by:  Papers (24)
| | PDF (1622 KB) | HTML

In this paper, we address the problem of data-aided (DA) and nondata-aided (NDA) per-antenna signal-to-noise ratio (SNR) estimation over wireless single-input multiple-output (SIMO) channels from linearly modulated signals. Under constant channels and additive white Gaussian noise (AWGN), we first derive the DA maximum-likelihood (ML) SNR estimator in closed-form expression. The performance of the... View full abstract»

• ### Network Tomography: Identifiability and Fourier Domain Estimation

Publication Year: 2010, Page(s):6029 - 6039
Cited by:  Papers (20)
| | PDF (523 KB) | HTML

The statistical problem for network tomography is to infer the distribution of X, with mutually independent components, from a measurement model Y = AX, where A is a given binary matrix representing the routing topology of a network under consideration. The challenge is that the dimension of X is much larger than that of Y and thus the problem is often ill-posed. This paper studies some statistica... View full abstract»

• ### Efficient Maximum Entropy Reconstruction of Nuclear Magnetic Resonance T1-T2 Spectra

Publication Year: 2010, Page(s):6040 - 6051
Cited by:  Papers (26)
| | PDF (915 KB) | HTML

This paper deals with the reconstruction of T1-T2 correlation spectra in nuclear magnetic resonance relaxometry. The ill-posed character and the large size of this inverse problem are the main difficulties to tackle. While maximum entropy is retained as an adequate regularization approach, the choice of an efficient optimization algorithm remains a challenging task. Our proposal is to apply a trun... View full abstract»

• ### Undermodeling-Error Quantification for Quadratically Nonlinear System Identification in the Short-Time Fourier Transform Domain

Publication Year: 2010, Page(s):6052 - 6065
Cited by:  Papers (1)
| | PDF (483 KB) | HTML

In this paper, we introduce an estimation error analysis for quadratically nonlinear system identification in the short-time Fourier transform (STFT) domain. The identification scheme consists of a parallel connection of a linear component, represented by crossband filters between subbands, and a quadratic component, which is modeled by multiplicative cross-terms. We mainly concentrate on two type... View full abstract»

• ### A Fixed-Lag Particle Filter for the Joint Detection/Compensation of Interference Effects in GPS Navigation

Publication Year: 2010, Page(s):6066 - 6079
Cited by:  Papers (9)
| | PDF (806 KB) | HTML

Interference are among the most penalizing error sources in global positioning system (GPS) navigation. So far, many effort has been devoted to developing GPS receivers more robust to the radio-frequency environment. Contrary to previous approaches, this paper does not aim at improving the estimation of the GPS pseudoranges between the mobile and the GPS satellites in the presence of interference.... View full abstract»

• ### Analysis of the Stereophonic LMS/Newton Algorithm and Impact of Signal Nonlinearity on Its Convergence Behavior

Publication Year: 2010, Page(s):6080 - 6092
Cited by:  Papers (5)
| | PDF (951 KB) | HTML

The strong cross-correlation that exists between the two input audio channels makes the problem of stereophonic acoustic echo cancellation (AEC) complex and challenging to solve. Recently, two new implementations of the LMS/Newton algorithm that uses a linear decorrelation technique were proposed. This method helps to mitigate the effect of the ill-conditioned problem on the convergence rate of th... View full abstract»

• ### Very Robust Low Complexity Lattice Filters

Publication Year: 2010, Page(s):6093 - 6104
Cited by:  Papers (12)
| | PDF (659 KB) | HTML

In this paper, a novel lattice filter structure is derived by combining the “tapped numerator” and “injected numerator” lattices [Y. C. Lim, “On the Synthesis of IIR Digital Filters Derived From Single Channel AR Lattice Network,” IEEE Trans. Acoust., Speech, Signal Process., vol. ASSP-32, no. 4, pp. 741-749, August 1984]. The injector coefficients are opt... View full abstract»

• ### Analytical Footprints: Compact Representation of Elementary Singularities in Wavelet Bases

Publication Year: 2010, Page(s):6105 - 6118
Cited by:  Papers (3)
| | PDF (1196 KB) | HTML

We introduce a family of elementary singularities that are point-Hölder α-regular. These singularities are self-similar and are the Green functions of fractional derivative operators; i.e., by suitable fractional differentiation, one retrieves a Dirac δ function at the exact location of the singularity. We propose to use fractional operator-like wavelets that act as a multisc... View full abstract»

• ### Global Optimization by Adapted Diffusion

Publication Year: 2010, Page(s):6119 - 6125
Cited by:  Papers (2)
| | PDF (775 KB) | HTML

In this paper, we study a diffusion stochastic dynamics with a general diffusion coefficient. The main result is that adapting the diffusion coefficient to the Hamiltonian allows to escape local wide minima and to speed up the convergence of the dynamics to the global minima. We prove the convergence of the invariant measure of the modified dynamics to a measure concentrated on the set of global m... View full abstract»

• ### On the Approximate Solution of a Class of Large Discrete Quadratic Programming Problems by $DeltaSigma$ Modulation: The Case of Circulant Quadratic Forms

Publication Year: 2010, Page(s):6126 - 6139
Cited by:  Papers (11)
| | PDF (919 KB) | HTML

We show that ΔΣ modulators can be interpreted as heuristic solvers for a particular class of optimization problems. Then, we exploit this theoretical result to propose a novel technique to deal with very large unconstrained discrete quadratic programming (UDQP) problems characterized by quadratic forms entailing a circulant matrix. The result is a circuit-based optimization approach ... View full abstract»

• ### Compressive Sensing on Manifolds Using a Nonparametric Mixture of Factor Analyzers: Algorithm and Performance Bounds

Publication Year: 2010, Page(s):6140 - 6155
Cited by:  Papers (71)
| | PDF (3182 KB) | HTML

Nonparametric Bayesian methods are employed to constitute a mixture of low-rank Gaussians, for data x ∈ RN that are of high dimension N but are constrained to reside in a low-dimensional subregion of RN. The number of mixture components and their rank are inferred automatically from the data. The resulting algorithm can be used for learning manifolds and for rec... View full abstract»

• ### Algorithms for Complex ML ICA and Their Stability Analysis Using Wirtinger Calculus

Publication Year: 2010, Page(s):6156 - 6167
Cited by:  Papers (16)
| | PDF (559 KB) | HTML

We derive a class of algorithms for independent component analysis (ICA) based on maximum likelihood (ML) estimation and perform stability analysis of natural gradient ML ICA with and without the constraint for unitary demixing matrix. In the process, we demonstrate how Wirtinger calculus facilitates derivations, and most importantly, performing second-order analysis in the complex domain and elim... View full abstract»

• ### Sidelobe Control in Collaborative Beamforming via Node Selection

Publication Year: 2010, Page(s):6168 - 6180
Cited by:  Papers (27)
| | PDF (601 KB) | HTML

Collaborative beamforming (CB) is a power efficient method for data communications in wireless sensor networks (WSNs) which aims at increasing the transmission range in the network by radiating the power from a cluster of sensor nodes in the directions of the intended base stations or access points (BSs/APs). The CB average beampattern shows a deterministic behavior and the mainlobe of the CB samp... View full abstract»

• ### Iterative HOS-SOS (IHOSS) Algorithm for Direction-of-Arrival Estimation and Sensor Localization

Publication Year: 2010, Page(s):6181 - 6194
Cited by:  Papers (7)
| | PDF (626 KB) | HTML

A new method for joint direction-of-arrival (DOA) and sensor position estimation is introduced. The sensors are assumed to be randomly deployed except two reference sensors. The proposed method exploits the advantages of both higher-order-statistics (HOS) and second-order-statistics (SOS) with an iterative algorithm, namely Iterative Higher-Order Second-Order Statistics (IHOSS). A new cumulant mat... View full abstract»

• ### Space-Time Coding for MIMO Radar Detection and Ranging

Publication Year: 2010, Page(s):6195 - 6206
Cited by:  Papers (8)
| | PDF (791 KB) | HTML

Space-time coding (STC) has been shown to play a key role in the design of MIMO radars with widely spaced antennas: In particular, rank-one coding amounts to using the multiple transmit antennas as power multiplexers, while full-rank coding maximizes the transmit diversity, compromises between the two being possible through rank-deficient coding. In detecting a target at known distance and Doppler... View full abstract»

• ### Statistics of Co-Channel Interference in a Field of Poisson and Poisson-Poisson Clustered Interferers

Publication Year: 2010, Page(s):6207 - 6222
Cited by:  Papers (96)
| | PDF (1208 KB) | HTML

With increasing spatial reuse of radio spectrum, co-channel interference is becoming a dominant noise source and may severely degrade the communication performance of wireless transceivers. In this paper, we consider the problem of statistical-physical modeling of co-channel interference from an annular field of Poisson or Poisson-Poisson cluster distributed interferers. Poisson and Poisson-Poisso... View full abstract»

• ### Training Sequence Design for Discriminatory Channel Estimation in Wireless MIMO Systems

Publication Year: 2010, Page(s):6223 - 6237
Cited by:  Papers (37)
| | PDF (1150 KB) | HTML

This paper proposes a training-based channel estimation scheme for achieving quality-of-service discrimination between legitimate and unauthorized receivers in wireless multiple-input multiple-output (MIMO) channels. The proposed method has applications ranging from user discrimination in wireless TV broadcast systems to the prevention of eavesdropping in secret communications. By considering a wi... View full abstract»

• ### Code-Aided Maximum-Likelihood Ambiguity Resolution Through Free-Energy Minimization

Publication Year: 2010, Page(s):6238 - 6250
Cited by:  Papers (2)
| | PDF (625 KB) | HTML

In digital communication receivers, ambiguities in terms of timing and phase need to be resolved prior to data detection. In the presence of powerful error-correcting codes, which operate in low signal-to-noise ratios (SNR), long training sequences are needed to achieve good performance. In this contribution, we develop a new class of code-aided ambiguity resolution algorithms, which require no tr... View full abstract»

• ### Competitive Spectrum Management With Incomplete Information

Publication Year: 2010, Page(s):6251 - 6265
Cited by:  Papers (11)
| | PDF (630 KB) | HTML

An important issue in wireless communication is the interaction between selfish independent wireless communication systems operating in the same frequency band. Due to the selfish nature of each system, this interaction is well modeled as a strategic game where each player (system) behaves to maximize its own utility. This paper studies an interference game where each system (player) has incomplet... 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