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# IEEE Transactions on Signal Processing

## Filter Results

Displaying Results 1 - 25 of 52

Publication Year: 2011, Page(s):C1 - C4
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• ### IEEE Transactions on Signal Processing publication information

Publication Year: 2011, Page(s): C2
| PDF (39 KB)
• ### CPHD Filtering With Unknown Clutter Rate and Detection Profile

Publication Year: 2011, Page(s):3497 - 3513
Cited by:  Papers (67)
| | PDF (960 KB) | HTML

In Bayesian multi-target filtering, we have to contend with two notable sources of uncertainty, clutter and detection. Knowledge of parameters such as clutter rate and detection profile are of critical importance in multi-target filters such as the probability hypothesis density (PHD) and cardinalized PHD (CPHD) filters. Significant mismatches in clutter and detection model parameters result in bi... View full abstract»

• ### Tracking and Localizing Moving Targets in the Presence of Phase Measurement Ambiguities

Publication Year: 2011, Page(s):3514 - 3525
Cited by:  Papers (7)
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When tracking a target using phase-only signal returns, range ambiguities due to the modulo 2π in measured signal phases are a major issue. Standard approaches to such problems would typically involve the use of Diophantine equations. In this paper, a simpler and robust solution is examined which uses look-up tables defined between the phase measurement and target location spaces to determi... View full abstract»

• ### On MMSE and MAP Denoising Under Sparse Representation Modeling Over a Unitary Dictionary

Publication Year: 2011, Page(s):3526 - 3535
Cited by:  Papers (14)
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Among the many ways to model signals, a recent approach that draws considerable attention is sparse representation modeling. In this model, the signal is assumed to be generated as a random linear combination of a few atoms from a prespecified dictionary. In this work, two Bayesian denoising algorithms are analyzed for this model-the maximum a posteriori probability (MAP) and the minimum-mean-squa... View full abstract»

• ### A General Approach to Coprime Pairs of Matrices, Based on Minors

Publication Year: 2011, Page(s):3536 - 3548
Cited by:  Papers (2)
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In signal processing, coprime pairs of integer matrices have an important role in the study of multidimensional multirate systems, and in multidimensional array processing. In this paper a general theorem for coprimality of pairs of matrices is first presented, based on the minors of an associated composite matrix. First, a necessary and sufficient set of conditions for coprimality is presented ba... View full abstract»

• ### Optimal Design of Oversampled Synthesis FBs With Lattice Structure Constraints

Publication Year: 2011, Page(s):3549 - 3559
Cited by:  Papers (14)
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Oversampled filter banks (FBs) with lattice structure allow fast implementation and guarantee the linear phase and perfect reconstruction property. For such FBs, the synthesis FB is not unique. This nonuniqueness provides extra design freedom for optimal reduction of subband noise required in many applications. However, the existing design methods of synthesis FB for optimal reduction of subband n... View full abstract»

• ### Wavelet Transform With Tunable Q-Factor

Publication Year: 2011, Page(s):3560 - 3575
Cited by:  Papers (96)
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This paper describes a discrete-time wavelet transform for which the Q-factor is easily specified. Hence, the transform can be tuned according to the oscillatory behavior of the signal to which it is applied. The transform is based on a real-valued scaling factor (dilation-factor) and is implemented using a perfect reconstruction over-sampled filter bank with real-valued sampling factors. Two form... View full abstract»

• ### Lv's Distribution: Principle, Implementation, Properties, and Performance

Publication Year: 2011, Page(s):3576 - 3591
Cited by:  Papers (55)
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This paper proposes a novel representation, known as Lv's distribution (LVD), of linear frequency modulated (LFM) signals. It has been well known that a monocomponent LFM signal can be uniquely determined by two important physical quantities, centroid frequency and chirp rate (CFCR). The basic reason for expressing a LFM signal in the CFCR domain is that these two quantities may not be apparent in... View full abstract»

• ### Theory of Sparse Coprime Sensing in Multiple Dimensions

Publication Year: 2011, Page(s):3592 - 3608
Cited by:  Papers (56)
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Coprime sampling and coprime sensor arrays have been introduced recently for the one-dimensional (1-D) case, and applications in beamforming and direction finding discussed. A pair of coprime arrays can be used to sample a wide-sense stationary signal sparsely, and then reconstruct the autocorrelation at a significantly denser set of points. All applications based on autocorrelation (e.g., spectru... View full abstract»

• ### Sparse Variational Bayesian SAGE Algorithm With Application to the Estimation of Multipath Wireless Channels

Publication Year: 2011, Page(s):3609 - 3623
Cited by:  Papers (24)
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In this paper, we develop a sparse variational Bayesian (VB) extension of the space-alternating generalized expectation-maximization (SAGE) algorithm for the high resolution estimation of the parameters of relevant multipath components in the response of frequency and spatially selective wireless channels. The application context of the algorithm considered in this contribution is parameter estima... View full abstract»

• ### A Unified Framework for Quadratic Measures of Independence

Publication Year: 2011, Page(s):3624 - 3635
Cited by:  Papers (11)
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This paper proposes a unified framework for several available measures of independence by generalizing the concept of information theoretic learning (ITL). The key component of ITL is the use of inner product between two density functions as a measure of similarity between two random variables. We show that by generalizing the inner product using a symmetric strictly positive-definite kernel and b... View full abstract»

• ### Bi-Iterative Algorithm for Extracting Independent Components From Array Signals

Publication Year: 2011, Page(s):3636 - 3646
Cited by:  Papers (6)
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It is well known that the complex-valued nonunitary joint diagonalization (NUJD) problem in blind source separation (BSS) can be linked to the trilinear models. In this paper, by exploring the special structure of the NUJD problem in BSS, we introduce a novel symmetric tri-quadratic cost function and then derive a simultaneous bi-iterative algorithm (s-BIA) for solving the NUJD problem. Finally, t... View full abstract»

• ### A Two-Stage Method for the Design of Near-Field Broadband Beamformer

Publication Year: 2011, Page(s):3647 - 3656
Cited by:  Papers (12)
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In this paper, the design of near-field broadband beamformer is considered. The idea is to design the beamformer filter coefficients such that the error between the actual response and the desired response is minimized. This problem can be formulated as a minimax optimization problem and can be transformed into a linear semi-definite programming problem. Interior point algorithm can then be applie... View full abstract»

• ### A Distributed Amplify-and-Forward Beamforming Technique in Wireless Sensor Networks

Publication Year: 2011, Page(s):3657 - 3674
Cited by:  Papers (20)
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We consider L far-field terminals with one source and L-1 interferences that transmit to a wireless sensor network (WSN) with K uniformly distributed relaying nodes. Each relaying node receives a signal mixture from the L transmitters in the first phase, multiplies it with a properly selected beamforming weight and retransmits the resultant signal to a single receiving ... View full abstract»

• ### State Space System Identification Approach to Radar Data Processing

Publication Year: 2011, Page(s):3675 - 3684
Cited by:  Papers (5)
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Space-time adaptive processing (STAP) algorithms typically consist of a data transformation step to reduce the number of degrees of freedom and a sampling step wherein radar returns from adjacent range bins are used to estimate interference statistics. The reduction in the number of degrees of freedom, inadequate sample support, presence of target in sampled data, and range dependence of interfere... View full abstract»

• ### Performance Predictions for Parameter Estimators That Minimize Cost-Functions Using Wirtinger Calculus With Application to CM Blind Equalization

Publication Year: 2011, Page(s):3685 - 3698
Cited by:  Papers (5)
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We present calculations of the first-order bias and first-order variance of parameters which are estimated batch-wise from the global minimum of a cost-function of complex-valued signals embedded in zero-mean Gaussian noise. The derivation involves the calculation of the multidimensional Taylor series of the non-analytic cost-function up to third order using the elegant Wirtinger calculus. Whereas... View full abstract»

• ### Multiple-Description $l_{1}$-Compression

Publication Year: 2011, Page(s):3699 - 3711
Cited by:  Papers (4)
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Multiple descriptions (MDs) is a method to obtain reliable signal transmissions on erasure channels. An MD encoder forms several descriptions of the signal and each description is independently transmitted across an erasure channel. The reconstruction quality then depends on the set of received descriptions. In this paper, we consider the design of redundant descriptions in an MD setup using l<... View full abstract»

• ### Performance Analysis of the Periodogram-Based Energy Detector in Fading Channels

Publication Year: 2011, Page(s):3712 - 3721
Cited by:  Papers (33)
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In this paper, we provide a performance analysis of cognitive radio systems employing energy detection based on power spectral density estimation. Specifically, we derive mathematical expressions for the probabilities of false alarm and missed detection when the periodogram estimate is used as a decision statistic. First, using the characteristic function of the quadratic form representation of th... View full abstract»

• ### Comparative Analysis of Pilot-Assisted Distributed Cophasing Approaches in Wireless Sensor Networks

Publication Year: 2011, Page(s):3722 - 3737
Cited by:  Papers (7)
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This paper compares and analyzes the performance of distributed cophasing techniques for uplink transmission over wireless sensor networks. We focus on a time-division duplexing approach, and exploit the channel reciprocity to reduce the channel feedback requirement. We consider periodic broadcast of known pilot symbols by the fusion center (FC), and maximum likelihood estimation of the channel by... View full abstract»

• ### Statistical Analysis of MIMO Beamforming With Co-Channel Unequal-Power MIMO Interferers Under Path-Loss and Rayleigh Fading

Publication Year: 2011, Page(s):3738 - 3748
Cited by:  Papers (13)
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Multiple-input multiple-output (MIMO) beamforming (MBF) can greatly increase the signal gain and reduce the effects of multipath fading for cell-edge users. The objective of this work is to investigate the impact of co-channel unequal-power MIMO interferers on an MBF desired receiver under realistic propagation conditions, including path-loss and Rayleigh fading. Two major contributions are made i... View full abstract»

• ### Throughput Characteristics by Multiuser Diversity in a Cognitive Radio System

Publication Year: 2011, Page(s):3749 - 3763
Cited by:  Papers (19)
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In this paper, we analyze the multiuser diversity gain in a cognitive radio (CR) system where the secondary transmitters opportunistically utilize the spectrum licensed to primary users only when it is not occupied by the primary users. To protect the primary users from the interference caused by missed detection of primary transmissions at the secondary receivers, minimum average throughput of th... View full abstract»

• ### Detection of Rank- $P$ Signals in Cognitive Radio Networks With Uncalibrated Multiple Antennas

Publication Year: 2011, Page(s):3764 - 3774
Cited by:  Papers (80)
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Spectrum sensing is a key component of the cognitive radio paradigm. Primary signals are typically detected with uncalibrated receivers at signal-to-noise ratios (SNRs) well below decodability levels. Multiantenna detectors exploit spatial independence of receiver thermal noise to boost detection performance and robustness. We study the problem of detecting a Gaussian signal with rank-P unk... View full abstract»

• ### On the Duality of MIMO Transceiver Designs With Bit Allocation

Publication Year: 2011, Page(s):3775 - 3787
Cited by:  Papers (5)
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Bit rate and power are two commonly used optimality criteria for MIMO transceiver design. In the literature, bit rate maximization and power minimization problems are viewed as different problems and solved independently. In this paper, we derive the duality between these two problems for both the cases with and without integer constraint on bit allocation. We will show that if a transceiver is op... View full abstract»

• ### Dynamic Interference Mitigation for Generalized Partially Connected Quasi-Static MIMO Interference Channel

Publication Year: 2011, Page(s):3788 - 3798
Cited by:  Papers (14)
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Recent works on MIMO interference channels have shown that interference alignment can significantly increase the achievable degrees of freedom (dof) of the network. However, most of these works have assumed a fully connected interference graph. In this paper, we investigate how the partial connectivity can be exploited to enhance system performance in MIMO interference networks. We propose a novel... 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