Notice

# IEEE Transactions on Signal Processing

## Filter Results

Displaying Results 1 - 25 of 41

Publication Year: 2006, Page(s): C1
| PDF (45 KB)
• ### IEEE Transactions on Signal Processing publication information

Publication Year: 2006, Page(s): C2
| PDF (36 KB)
• ### A Parametric Approach to Suboptimal Signal Detection in $alpha$-Stable Noise

Publication Year: 2006, Page(s):4497 - 4509
Cited by:  Papers (19)
| | PDF (985 KB) | HTML

This paper deals with the detection of a known deterministic signal embedded in alpha-stable noise. The implementation of the optimal receiver requires the explicit expression of the probability density function (pdf) of the noise. Unfortunately, since there exists no closed-form for the pdf of alpha-stable distributed random variables, numerical integrations are required. To avoid such numerical ... View full abstract»

• ### Adaptive Detection and Interference Rejection of Multiple Point-Like Radar Targets

Publication Year: 2006, Page(s):4510 - 4518
Cited by:  Papers (16)
| | PDF (412 KB) | HTML

We present an adaptive algorithm aimed at detecting multiple point-like radar targets embedded in correlated Gaussian noise. The proposed detector modifies and improves the adaptive beamformer orthogonal rejection test (ABORT) idea to address detection of multiple targets. More precisely, it relies on the so-called two-step generalized likelihood ratio test (GLRT) design procedure implemented with... View full abstract»

• ### Target Location Estimation in Sensor Networks With Quantized Data

Publication Year: 2006, Page(s):4519 - 4528
Cited by:  Papers (125)
| | PDF (497 KB) | HTML

A signal intensity based maximum-likelihood (ML) target location estimator that uses quantized data is proposed for wireless sensor networks (WSNs). The signal intensity received at local sensors is assumed to be inversely proportional to the square of the distance from the target. The ML estimator and its corresponding Crameacuter-Rao lower bound (CRLB) are derived. Simulation results show that t... View full abstract»

• ### FSF MUSIC for Joint DOA and Frequency Estimation and Its Performance Analysis

Publication Year: 2006, Page(s):4529 - 4542
Cited by:  Papers (30)
| | PDF (597 KB) | HTML

In this paper, we present a tree-structured frequency-space-frequency (FSF) multiple signal classification (MUSIC)-based algorithm for joint estimation of the directions of arrival (DOAs) and frequencies in wireless communication systems. The proposed approach is a novel twist of parameter estimation and filtering processes, in which two one-dimensional (1-D) frequency (F)- and one 1-D space (S)-M... View full abstract»

• ### An Eigenvector-Based Approach for Multidimensional Frequency Estimation With Improved Identifiability

Publication Year: 2006, Page(s):4543 - 4556
Cited by:  Papers (38)
| | PDF (617 KB) | HTML

This paper presents an algebraic method for two-dimensional (2-D) and multidimensional frequency estimation by exploiting eigenvector structure. The algorithm is based on multidimensional smoothing and data folding, and offers significantly improved identifiability (ID) over existing algebraic approaches, thus is termed the improved multidimensional folding (IMDF) algorithm. The ID, performance, a... View full abstract»

• ### Pairwise Optimal Weight Realization—Acceleration Technique for Set-Theoretic Adaptive Parallel Subgradient Projection Algorithm

Publication Year: 2006, Page(s):4557 - 4571
Cited by:  Papers (24)
| | PDF (737 KB) | HTML

The adaptive parallel subgradient projection (PSP) algorithm was proposed in 2002 as a set-theoretic adaptive filtering algorithm providing fast and stable convergence, robustness against noise, and low computational complexity by using weighted parallel projections onto multiple time-varying closed half-spaces. In this paper, we present a novel weighting technique named pairwise optimal weight re... View full abstract»

• ### Echo Cancellation—A Likelihood Ratio Test for Double-Talk Versus Channel Change

Publication Year: 2006, Page(s):4572 - 4581
Cited by:  Papers (3)
| | PDF (556 KB) | HTML

Echo cancellers (ECs) are in wide use in both electrical (four-wire to two-wire mismatch) and acoustic (speaker-microphone coupling) applications. One of the main design problems is the control logic for adaptation. Basically, the algorithm weights should be frozen in the presence of double-talk and adapt quickly in the absence of double-talk. The control logic can be quite complicated since it is... View full abstract»

• ### Design of Optimal Digital IIR Filters by Using an Improved Immune Algorithm

Publication Year: 2006, Page(s):4582 - 4596
Cited by:  Papers (27)
| | PDF (1064 KB) | HTML

In this paper, based on both the features of a biological immune system and the systematic reasoning ability of the Taguchi method, an improved immune algorithm, named the Taguchi-immune algorithm (TIA), is proposed to solve the problem of designing the optimal digital infinite impulse response (IIR) filters. In the TIA, the clonal proliferation within hypermutation for several antibody diversific... View full abstract»

• ### Double Preconditioning for Gabor Frames

Publication Year: 2006, Page(s):4597 - 4610
Cited by:  Papers (22)
| | PDF (1629 KB) | HTML

The authors present an application of the general idea of preconditioning in the context of Gabor frames. While most (iterative) algorithms aim at a more or less costly exact numerical calculation of the inverse Gabor frame matrix, we propose here the use of "cheap methods" to find an approximation for it, based on (double) preconditioning. We thereby obtain good approximations of the true dual Ga... View full abstract»

• ### An Efficient Method for an Ill-Posed Problem — Band-Limited Extrapolation by Regularization

Publication Year: 2006, Page(s):4611 - 4618
Cited by:  Papers (11)
| | PDF (371 KB) | HTML

In this paper, a regularized spectral estimation formula and a regularized iterative algorithm for band-limited extrapolation are presented. The ill-posedness is taken into account. First the Fredholm equation is regularized. Then it is transformed to a differential equation in the case where the time interval is R. A fast algorithm to solve the differential equation is given by the finite differe... View full abstract»

• ### Mean-Squared Error Sampling and Reconstruction in the Presence of Noise

Publication Year: 2006, Page(s):4619 - 4633
Cited by:  Papers (4)
| | PDF (524 KB) | HTML

One of the main goals of sampling theory is to represent a continuous-time function by a discrete set of samples. Here, we treat the class of sampling problems in which the underlying function can be specified by a finite set of samples. Our problem is to reconstruct the signal from nonideal, noisy samples, which are modeled as the inner products of the signal with a set of sampling vectors, conta... View full abstract»

• ### Theoretical Results on Sparse Representations of Multiple-Measurement Vectors

Publication Year: 2006, Page(s):4634 - 4643
Cited by:  Papers (296)  |  Patents (7)
| | PDF (447 KB) | HTML

The sparse representation of a multiple-measurement vector (MMV) is a relatively new problem in sparse representation. Efficient methods have been proposed. Although many theoretical results that are available in a simple case-single-measurement vector (SMV)-the theoretical analysis regarding MMV is lacking. In this paper, some known results of SMV are generalized to MMV. Some of these new results... View full abstract»

• ### Hybrid Polynomial Filters for Gaussian and Non-Gaussian Noise Environments

Publication Year: 2006, Page(s):4644 - 4661
Cited by:  Papers (6)
| | PDF (1016 KB) | HTML

Traditional polynomial filtering theory, based on linear combinations of polynomial terms, is able to approximate important classes of nonlinear systems. The linear combination of polynomial terms, however, yields poor performance in environments characterized by Gaussian and heavy tailed distributions. Weighted median and weighted myriad filters, in contrast, are well known for their outlier supp... View full abstract»

• ### Higher Order Nested Wigner Distributions: Properties and Applications

Publication Year: 2006, Page(s):4662 - 4674
Cited by:  Papers (2)
| | PDF (1125 KB) | HTML

The concept of Wigner distribution (WD) is extended to higher-order nested Wigner distributions. The nested ambiguity function (NAF) is also derived naturally by employing the known interrelation between the WD and the ambiguity function (AF). These distributions are obtained by nesting a function within itself a number of times. The definitions of these new multidimensional distributions are give... View full abstract»

• ### Matrix Factorizations for Parallel Integer Transformation

Publication Year: 2006, Page(s):4675 - 4684
Cited by:  Papers (7)
| | PDF (1176 KB) | HTML

Integer mapping is critical for lossless source coding and has been used for multicomponent image compression in the new international image compression standard JPEG 2000. In this paper, starting from block factorizations for any nonsingular transform matrix, we introduce two types of parallel elementary reversible matrix (PERM) factorizations which are helpful for the parallelization of perfectl... View full abstract»

• ### Tree-Based Pursuit: Algorithm and Properties

Publication Year: 2006, Page(s):4685 - 4697
Cited by:  Papers (39)  |  Patents (5)
| | PDF (1271 KB) | HTML

This paper proposes a tree-based pursuit algorithm that efficiently trades off complexity and approximation performance for overcomplete signal expansions. Finding the sparsest representation of a signal using a redundant dictionary is, in general, an NP-hard problem. Even suboptimal algorithms such as Matching Pursuit remain highly complex. We propose a structuring strategy that can be applied to... View full abstract»

• ### Adaptive Detection of a Signal Known Only to Lie on a Line in a Known Subspace, When Primary and Secondary Data are Partially Homogeneous

Publication Year: 2006, Page(s):4698 - 4705
Cited by:  Papers (27)
| | PDF (410 KB) | HTML

This paper deals with the problem of detecting a signal, known only to lie on a line in a subspace, in the presence of unknown noise, using multiple snapshots in the primary data. To account for uncertainties about a signal's signature, we assume that the steering vector belongs to a known linear subspace. Furthermore, we consider the partially homogeneous case, for which the covariance matrix of ... View full abstract»

• ### Adaptive Channel Estimation Using Pilot-Embedded Data-Bearing Approach for MIMO-OFDM Systems

Publication Year: 2006, Page(s):4706 - 4716
Cited by:  Papers (16)
| | PDF (707 KB) | HTML

Multiple-input multiple-output (MIMO) orthogonal-frequency-division-multiplexing (OFDM) systems employing coherent receivers crucially require channel state information (CSI). Since the multipath delay profile of channels is arbitrary in the MIMO-OFDM systems, an effective channel estimator is needed. In this paper, we first develop a pilot-embedded data-bearing (PEDB) approach for joint channel e... View full abstract»

• ### Channel Adaptive Quantization for Limited Feedback MIMO Beamforming Systems

Publication Year: 2006, Page(s):4717 - 4729
Cited by:  Papers (33)  |  Patents (13)
| | PDF (578 KB) | HTML

Multiple-input multiple-output (MIMO) wireless systems can achieve significant diversity and array gain by using transmit beamforming and receive combining techniques. In the absence of full channel knowledge at the transmitter, the transmit beamforming vector can be quantized at the receiver and sent to the transmitter using a low-rate feedback channel. In the literature, quantization algorithms ... View full abstract»

• ### Interpolation Based Unitary Precoding for Spatial Multiplexing MIMO-OFDM With Limited Feedback

Publication Year: 2006, Page(s):4730 - 4740
Cited by:  Papers (61)  |  Patents (8)
| | PDF (695 KB) | HTML

Spatial multiplexing with linear precoding is a simple technique for achieving high spectral efficiency in multiple-input multiple-output orthogonal frequency division multiplexing (MIMO-OFDM) systems. Linear precoding requires channel state information for each OFDM subcarrier, which can be achieved using feedback. To reduce the amount of feedback, this paper proposes a limited feedback architect... View full abstract»

• ### Dynamic Nulling-and-Canceling for Efficient Near-ML Decoding of MIMO Systems

Publication Year: 2006, Page(s):4741 - 4752
Cited by:  Papers (5)
| | PDF (735 KB) | HTML

It is known that conventional nulling-and-canceling (NC) detection for multiple-input/multiple-output (MIMO) systems cannot exploit all of the available diversity, and, thus, its performance is significantly inferior to that of maximum likelihood (ML) detection. Conventional NC employs the layerwise postequalization signal-to-noise ratios (SNRs) as reliability measures for layer sorting. These SNR... View full abstract»

• ### Performance Analysis of Quantized Beamforming MIMO Systems

Publication Year: 2006, Page(s):4753 - 4766
Cited by:  Papers (48)
| | PDF (630 KB) | HTML

Multiple-input multiple-output (MIMO) wireless systems can achieve significant diversity and array gain by using single-stream transmit beamforming and receive combining. A MIMO beamforming system with feedback using a codebook based quantization of the beamforming vector allows practical implementation of such a strategy in a single-user scenario. The performance of this system in uncorrelated Ra... View full abstract»

• ### Novel Transmit Beamforming Schemes for Time-Selective Fading Multiantenna Systems

Publication Year: 2006, Page(s):4767 - 4781
Cited by:  Papers (24)  |  Patents (3)
| | PDF (637 KB) | HTML

Transmit beamforming has been widely adopted for wireless systems with multiple transmit antennas. For a block fading channel, the Grassmannian beamformer has been shown to provide very good performance for finite rate feedback. However, the original Grassmannian beamformer does not take the time domain correlation of the channel fading into consideration. In this paper, based on a first-order aut... 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