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# IEEE Transactions on Signal Processing

## Filter Results

Displaying Results 1 - 25 of 46

Publication Year: 2009, Page(s):C1 - C4
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• ### IEEE Transactions on Signal Processing publication information

Publication Year: 2009, Page(s): C2
| PDF (39 KB)
• ### On the Statistics of Spectral Amplitudes After Variance Reduction by Temporal Cepstrum Smoothing and Cepstral Nulling

Publication Year: 2009, Page(s):4165 - 4174
Cited by:  Papers (29)  |  Patents (2)
| | PDF (1205 KB) | HTML

In this paper, we derive the signal power bias that arises when spectral amplitudes are smoothed by reducing their variance in the cepstral domain (often referred to as cepstral smoothing) and develop a power bias compensation method. We show that if chi-distributed spectral amplitudes are smoothed in the cepstral domain, the resulting smoothed spectral amplitudes are also approximately chi... View full abstract»

• ### Study of Two Error Functions to Approximate the Neyman–Pearson Detector Using Supervised Learning Machines

Publication Year: 2009, Page(s):4175 - 4181
Cited by:  Papers (12)
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A study of the possibility of approximating the Neyman-Pearson detector using supervised learning machines is presented. Two error functions are considered for training: the sum-of-squares error and the Minkowski error with R = 1. The study is based on the calculation of the function the learning machine approximates to during training, and the application of a sufficient condition previously form... View full abstract»

• ### Collaborative Cyclostationary Spectrum Sensing for Cognitive Radio Systems

Publication Year: 2009, Page(s):4182 - 4195
Cited by:  Papers (173)
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This paper proposes an energy efficient collaborative cyclostationary spectrum sensing approach for cognitive radio systems. An existing statistical hypothesis test for the presence of cyclostationarity is extended to multiple cyclic frequencies and its asymptotic distributions are established. Collaborative test statistics are proposed for the fusion of local test statistics of the secondary user... View full abstract»

• ### On the Effect of Shadow Fading on Wireless Geolocation in Mixed LoS/NLoS Environments

Publication Year: 2009, Page(s):4196 - 4208
Cited by:  Papers (2)
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This paper considers the wireless non-line-of-sight (NLoS) geolocation in mixed LoS/NLoS environments by using the information of time-of-arrival. We derive the Cramer-Rao bound (CRB) for a deterministic shadowing, the asymptotic CRB (ACRB) based on the statistical average of a random shadowing, a generalization of the modified CRB (MCRB) called a simplified Bayesian CRB (SBCRB), and the Bayesian ... View full abstract»

• ### Parameter Estimation of Phase-Modulated Signals Using Bayesian Unwrapping

Publication Year: 2009, Page(s):4209 - 4219
Cited by:  Papers (10)
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Parametric estimation of phase-modulated signals (PMS) in additive white Gaussian noise is considered. The prohibitive computational expense of maximum likelihood estimation for this problem has led to the development of many suboptimal estimators which are relatively inaccurate and cannot operate at low signal-to-noise ratios (SNRs). In this paper, a novel technique based on a probabilistic unwra... View full abstract»

• ### Radiological Source Detection and Localisation Using Bayesian Techniques

Publication Year: 2009, Page(s):4220 - 4231
Cited by:  Papers (18)
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The problem considered in this paper is detection and estimation of multiple radiation sources using a time series of radiation counts from a collection of sensors. A Bayesian framework is adopted. Source detection is approached as a model selection problem in which competing models are compared using partial Bayes factors. Given the number of sources, the posterior mean is the minimum mean square... View full abstract»

• ### The Bin-Occupancy Filter and Its Connection to the PHD Filters

Publication Year: 2009, Page(s):4232 - 4246
Cited by:  Papers (51)
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An algorithm that is capable not only of tracking multiple targets but also of ldquotrack managementrdquo-meaning that it does not need to know the number of targets as a user input-is of considerable interest. In this paper we devise a recursive track-managed filter via a quantized state-space (ldquobinrdquo) model. In the limit, as the discretization implied by the bins becomes as refined as pos... View full abstract»

• ### On Approximate Maximum-Likelihood Methods for Blind Identification: How to Cope With the Curse of Dimensionality

Publication Year: 2009, Page(s):4247 - 4259
Cited by:  Papers (5)
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We discuss approximate maximum-likelihood methods for blind identification and deconvolution. These algorithms are based on particle approximation versions of the expectation-maximization (EM) algorithm. We consider three different methods which differ in the way the posterior distribution of the symbols is computed. The first algorithm is a particle approximation method of the fixed-interval smoo... View full abstract»

• ### The QS-Householder Sliding Window Bi-SVD Subspace Tracker

Publication Year: 2009, Page(s):4260 - 4268
Cited by:  Papers (2)
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A fast algorithm for computing the sliding window bi-SVD subspace tracker is introduced. This algorithm produces, in each time step, a dominant rank-r SVD subspace approximant of an L timesN rectangular sliding window data matrix. The method is based on the QS (orthonormal-square) decomposition. It uses two row-Householder transformations for updating and one nonorthogo... View full abstract»

• ### Illumination Sensing in LED Lighting Systems Based on Frequency-Division Multiplexing

Publication Year: 2009, Page(s):4269 - 4281
Cited by:  Papers (19)
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Recently, light emitting diode (LED) based illumination systems have attracted considerable research interest. Such systems normally consist of a large number of LEDs. In order to facilitate the control of such high-complexity system, a novel signal processing application, namely illumination sensing, is thus studied. In this paper, the system concept and research challenges of illumination sensin... View full abstract»

• ### Generic Invertibility of Multidimensional FIR Filter Banks and MIMO Systems

Publication Year: 2009, Page(s):4282 - 4291
Cited by:  Papers (13)
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In this paper, we study the invertibility of M-variate Laurent polynomial N times P matrices. Such matrices represent multidimensional systems in various settings such as filter banks, multiple-input multiple-output systems, and multirate systems. Given an N times P Laurent polynomial matrix H(z1, ..., zM) of degree at most k, we want to find a P times N Laurent polynomial le... View full abstract»

• ### On Bounds of Shift Variance in Two-Channel Multirate Filter Banks

Publication Year: 2009, Page(s):4292 - 4303
Cited by:  Papers (9)
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Critically sampled multirate FIR filter banks exhibit periodically shift variant behavior caused by nonideal antialiasing filtering in the decimation stage. We assess their shift variance quantitatively by analysing changes in the output signal when the filter bank operator and shift operator are interchanged. We express these changes by a so-called commutator. We then derive a sharp upper bound f... View full abstract»

• ### Orthogonal and Biorthogonal $sqrt 3$-Refinement Wavelets for Hexagonal Data Processing

Publication Year: 2009, Page(s):4304 - 4313
Cited by:  Papers (2)
| | PDF (776 KB) | HTML

The hexagonal lattice was proposed as an alternative method for image sampling. The hexagonal sampling has certain advantages over the conventionally used square sampling. Hence, the hexagonal lattice has been used in many areas. A hexagonal lattice allows radic3, dyadic and radic7 refinements, which makes it possible to use the multiresolution (multiscale) analysis method to process hexagonally s... View full abstract»

• ### A Robust Chinese Remainder Theorem With Its Applications in Frequency Estimation From Undersampled Waveforms

Publication Year: 2009, Page(s):4314 - 4322
Cited by:  Papers (33)
| | PDF (825 KB) | HTML

The Chinese remainder theorem (CRT) allows to reconstruct a large integer from its remainders modulo several moduli. In this paper, we propose a robust reconstruction algorithm called robust CRT when the remainders have errors. We show that, using the proposed robust CRT, the reconstruction error is upper bounded by the maximal remainder error range named remainder error bound, if the remainder er... View full abstract»

• ### Time-Frequency Coherent Modulation Filtering of Nonstationary Signals

Publication Year: 2009, Page(s):4323 - 4332
Cited by:  Papers (32)
| | PDF (473 KB) | HTML

Modulation filtering is a class of techniques for filtering slowly-varying modulation envelopes of frequency subbands of a signal, ideally without affecting the subband signal's temporal fine-structure. Coherent modulation filtering is a potentially more effective type of such techniques where, via an explicit product model, subband envelopes are determined from demodulation of the subband signal ... View full abstract»

• ### Stagewise Weak Gradient Pursuits

Publication Year: 2009, Page(s):4333 - 4346
Cited by:  Papers (31)
| | PDF (880 KB) | HTML

Finding sparse solutions to underdetermined inverse problems is a fundamental challenge encountered in a wide range of signal processing applications, from signal acquisition to source separation. This paper looks at greedy algorithms that are applicable to very large problems. The main contribution is the development of a new selection strategy (called stagewise weak selection) that effectively s... View full abstract»

• ### Relaxed Conditions for Sparse Signal Recovery With General Concave Priors

Publication Year: 2009, Page(s):4347 - 4354
Cited by:  Papers (18)
| | PDF (935 KB) | HTML

The emerging theory of compressive or compressed sensing challenges the convention of modern digital signal processing by establishing that exact signal reconstruction is possible for many problems where the sampling rate falls well below the Nyquist limit. Following the landmark works of Candes and Donoho on the performance of l1-minimization models for signal reconstruction, several a... View full abstract»

• ### Joint Bayesian Endmember Extraction and Linear Unmixing for Hyperspectral Imagery

Publication Year: 2009, Page(s):4355 - 4368
Cited by:  Papers (142)
| | PDF (2025 KB) | HTML

This paper studies a fully Bayesian algorithm for endmember extraction and abundance estimation for hyperspectral imagery. Each pixel of the hyperspectral image is decomposed as a linear combination of pure endmember spectra following the linear mixing model. The estimation of the unknown endmember spectra is conducted in a unified manner by generating the posterior distribution of abundances and ... View full abstract»

• ### Decomposable Principal Component Analysis

Publication Year: 2009, Page(s):4369 - 4377
Cited by:  Papers (27)
| | PDF (395 KB) | HTML

In this paper, we consider principal component analysis (PCA) in decomposable Gaussian graphical models. We exploit the prior information in these models in order to distribute PCA computation. For this purpose, we reformulate the PCA problem in the sparse inverse covariance (concentration) domain and address the global eigenvalue problem by solving a sequence of local eigenvalue problems in each ... View full abstract»

• ### An Iterative Bayesian Algorithm for Sparse Component Analysis in Presence of Noise

Publication Year: 2009, Page(s):4378 - 4390
Cited by:  Papers (27)
| | PDF (660 KB) | HTML

We present a Bayesian approach for sparse component analysis (SCA) in the noisy case. The algorithm is essentially a method for obtaining sufficiently sparse solutions of underdetermined systems of linear equations with additive Gaussian noise. In general, an underdetermined system of linear equations has infinitely many solutions. However, it has been shown that sufficiently sparse solutions can ... View full abstract»

• ### Designing Unimodular Sequence Sets With Good Correlations—Including an Application to MIMO Radar

Publication Year: 2009, Page(s):4391 - 4405
Cited by:  Papers (91)
| | PDF (1200 KB) | HTML

A multiple-input multiple-output (MIMO) radar system that transmits orthogonal waveforms via its antennas can achieve a greatly increased virtual aperture compared with its phased-array counterpart. This increased virtual aperture enables many of the MIMO radar advantages, including enhanced parameter identifiability and improved resolution. Practical radar requirements such as unit peak-to-averag... View full abstract»

• ### Cooperative Wireless Medium Access Exploiting Multi-Beam Adaptive Arrays and Relay Selection

Publication Year: 2009, Page(s):4406 - 4417
| | PDF (471 KB) | HTML

Cooperative transmission among wireless network nodes can be exploited to resolve collisions and thereby enhance the network throughput. Incorporation of multi-beam adaptive array (MBAA) at a base station/access point (destination) receiver has been shown to improve the network performance. In this paper, we propose an efficient cooperative wireless medium access scheme that exploits novel relay s... View full abstract»

• ### A Convex Analysis-Based Minimum-Volume Enclosing Simplex Algorithm for Hyperspectral Unmixing

Publication Year: 2009, Page(s):4418 - 4432
Cited by:  Papers (135)
| | PDF (3343 KB) | HTML

Hyperspectral unmixing aims at identifying the hidden spectral signatures (or endmembers) and their corresponding proportions (or abundances) from an observed hyperspectral scene. Many existing hyperspectral unmixing algorithms were developed under a commonly used assumption that pure pixels exist. However, the pure-pixel assumption may be seriously violated for highly mixed data. Based on intuiti... 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