# IEEE Transactions on Signal Processing

## Filter Results

Displaying Results 1 - 25 of 32
• ### [Front cover]

Publication Year: 2014, Page(s): C1
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• ### IEEE Transactions on Signal Processing publication information

Publication Year: 2014, Page(s): C2
| |PDF (135 KB)

Publication Year: 2014, Page(s):4639 - 4640
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Publication Year: 2014, Page(s):4641 - 4642
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• ### A Measurement Rate-MSE Tradeoff for Compressive Sensing Through Partial Support Recovery

Publication Year: 2014, Page(s):4643 - 4658
Cited by:  Papers (1)
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We consider the problem of estimating sparse vectors from noisy linear measurements in the high dimensionality regime. For a fixed number k of nonzero entries, we study the fundamental relationship between two relevant quantities: the measurement rate, which characterizes the asymptotic behavior of the dimensions of the measurement matrix in terms of the ratio m/log n (with m being the number of m... View full abstract»

• ### Fienup Algorithm With Sparsity Constraints: Application to Frequency-Domain Optical-Coherence Tomography

Publication Year: 2014, Page(s):4659 - 4672
Cited by:  Papers (14)
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We address the problem of reconstructing a sparse signal from its DFT magnitude. We refer to this problem as the sparse phase retrieval (SPR) problem, which finds applications in tomography, digital holography, electron microscopy, etc. We develop a Fienup-type iterative algorithm, referred to as the Max- K algorithm, to enforce sparsity and successively refine the estimate of phase. We show that ... View full abstract»

• ### Elliptic Localization: Performance Study and Optimum Receiver Placement

Publication Year: 2014, Page(s):4673 - 4688
Cited by:  Papers (24)
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Range based localization often relies on TOA that creates a circular contour or TDOA that yields hyperbolic surface to determine the position of an emitting object. Another approach that has gained attention recently is elliptic localization. Elliptic localization uses an active transmitter to send out a signal and several receivers to acquire the reflected or relayed signal from an object to obta... View full abstract»

• ### An Empirical-Bayes Approach to Recovering Linearly Constrained Non-Negative Sparse Signals

Publication Year: 2014, Page(s):4689 - 4703
Cited by:  Papers (17)
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We propose two novel approaches for the recovery of an (approximately) sparse signal from noisy linear measurements in the case that the signal is a priori known to be non-negative and obey given linear equality constraints, such as a simplex signal. This problem arises in, e.g., hyperspectral imaging, portfolio optimization, density estimation, and certain cases of compressive imaging. Our first ... View full abstract»

• ### Construction of Doppler Resilient Complete Complementary Code in MIMO Radar

Publication Year: 2014, Page(s):4704 - 4712
Cited by:  Papers (9)
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Orthogonal waveform design has become an important research topic in recent years due to the performance advantages of MIMO radar incorporating orthogonal transmitted signals. Complete complementary code (CCC) has ideal ambiguity along the zero Doppler axis, which is desirable in MIMO radar. However, the main obstacle for the extensive usage of CCC is its sensitivity to nonzero Doppler shift. In t... View full abstract»

• ### Knowledge-Aided Parametric Adaptive Matched Filter With Automatic Combining for Covariance Estimation

Publication Year: 2014, Page(s):4713 - 4722
Cited by:  Papers (6)
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In this paper, a knowledge-aided parametric adaptive matched filter (KA-PAMF) is proposed that utilizing both observations (including the test and training signals) and a priori knowledge of the spatial covariance matrix. Unlike existing KA-PAMF methods, the proposed KA-PAMF is able to automatically adjust the combining weight of a priori covariance matrix, thus gaining enhanced robustness against... View full abstract»

• ### A Variational Bayes Framework for Sparse Adaptive Estimation

Publication Year: 2014, Page(s):4723 - 4736
Cited by:  Papers (21)
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Recently, a number of mostly l1-norm regularized least-squares-type deterministic algorithms have been proposed to address the problem of sparse adaptive signal estimation and system identification. From a Bayesian perspective, this task is equivalent to maximum a posteriori probability estimation under a sparsity promoting heavy-tailed prior for the parameters of interest. Following a different a... View full abstract»

• ### Block-Wise QR-Decomposition for the Layered and Hybrid Alamouti STBC MIMO Systems: Algorithms and Hardware Architectures

Publication Year: 2014, Page(s):4737 - 4747
Cited by:  Papers (9)
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Unlike the channel matrix in the spatial division multiplexing (SDM) multiple-input multiple-output (MIMO) communication system, the equivalent channel matrix in the layered Alamouti space-time block coding (STBC) MIMO system comprised 2-by-2 Alamouti sub-blocks. One novel property, found by Sayed about the QR-decomposition (QRD) of this equivalent channel matrix is that the produced Q- and R-matr... View full abstract»

• ### IRCI Free Range Reconstruction for SAR Imaging With Arbitrary Length OFDM Pulse

Publication Year: 2014, Page(s):4748 - 4759
Cited by:  Papers (8)
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Our previously proposed OFDM with sufficient cyclic prefix (CP) synthetic aperture radar (SAR) imaging algorithm is inter-range-cell interference (IRCI) free and achieves ideally zero range sidelobes for range reconstruction. In this OFDM SAR imaging algorithm, the minimum required CP length is almost equal to the number of range cells in a swath, while the number of subcarriers of an OFDM signal ... View full abstract»

• ### A Barycentric Coordinate Based Distributed Localization Algorithm for Sensor Networks

Publication Year: 2014, Page(s):4760 - 4771
Cited by:  Papers (27)
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This paper studies the problem of determining the sensor locations in a large sensor network using only relative distance (range) measurements. Based on a generalized barycentric coordinate representation, our work generalizes the DILOC algorithm to the localization problem under arbitrary deployments of sensor nodes and anchor nodes. First, a criterion and algorithm are developed to determine a g... View full abstract»

• ### Multi-Stage Robust Chinese Remainder Theorem

Publication Year: 2014, Page(s):4772 - 4785
Cited by:  Papers (13)
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It is well-known that the traditional Chinese remainder theorem (CRT) is not robust in the sense that a small error in a remainder may cause a large reconstruction error. A robust CRT was recently proposed for a special case when the greatest common divisor (gcd) of all the moduli is more than 1 and the remaining integers factorized by the gcd are co-prime. It basically says that the reconstructio... View full abstract»

• ### Hierarchical Interference Mitigation for Massive MIMO Cellular Networks

Publication Year: 2014, Page(s):4786 - 4797
Cited by:  Papers (29)
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We propose a hierarchical interference mitigation scheme for massive MIMO cellular networks. The MIMO precoder at each base station (BS) is partitioned into an inner precoder and an outer precoder. The inner precoder controls the intra-cell interference and is adaptive to local channel state information (CSI) at each BS (CSIT). The outer precoder controls the inter-cell interference and is adaptiv... View full abstract»

• ### Multiuser MISO Beamforming for Simultaneous Wireless Information and Power Transfer

Publication Year: 2014, Page(s):4798 - 4810
Cited by:  Papers (145)
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This paper studies a multiuser multiple-input single-output (MISO) broadcast simultaneous wireless information and power transfer (SWIPT) system, where a multi-antenna access point (AP) sends wireless information and energy simultaneously via spatial multiplexing to multiple single-antenna receivers each of which implements information decoding (ID) or energy harvesting (EH). We aim to maximize th... View full abstract»

• ### Theory, Design and Application of Arbitrary Order Arbitrary Delay Filterbanks

Publication Year: 2014, Page(s):4811 - 4823
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Classical design of filterbanks results in equal order inverses, thus resulting in filterbanks with equal analysis and synthesis filter length. While it is known that filterbanks may have unequal orders, there does not exist a simple, systematic method to design a pth-order analysis and qth-order synthesis filterbank where p ≠ q. Also, the design criteria of the pth-order analysis having qt... View full abstract»

• ### R-dimensional esprit-type algorithms for strictly second-order non-circular sources and their performance analysis

Publication Year: 2014, Page(s):4824 - 4838
Cited by:  Papers (28)
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High-resolution parameter estimation algorithms designed to exploit the prior knowledge about incident signals from strictly second-order (SO) noncircular (NC) sources allow for a lower estimation error and can resolve twice as many sources. In this paper, we derive the R \mathchar"702DD NC Standard ESPRIT and the R \mathchar"702DD NC Unitary ESPRIT algorithms that provide a significantly better p... View full abstract»

• ### ${\cal H}_2$ Sampled—Data Filtering of Linear Systems

Publication Year: 2014, Page(s):4839 - 4846
Cited by:  Papers (3)
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This paper addresses the H2 state estimation problem in the context of sampled-data systems, which is closely related to H2 filtering design under limited bandwidth constraints. Our first approach considers a fixed data-rate setting, for which a discrete-time equivalent system is devised and, based on this concept, sufficient conditions for the H2 filtering design ... View full abstract»

• ### Convex Optimization Approaches for Blind Sensor Calibration Using Sparsity

Publication Year: 2014, Page(s):4847 - 4856
Cited by:  Papers (18)
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We investigate a compressive sensing framework in which the sensors introduce a distortion to the measurements in the form of unknown gains. We focus on blind calibration, using measures performed on multiple unknown (but sparse) signals and formulate the joint recovery of the gains and the sparse signals as a convex optimization problem. We divide this problem in 3 subproblems with different cond... View full abstract»

• ### Superoscillations With Optimum Energy Concentration

Publication Year: 2014, Page(s):4857 - 4867
Cited by:  Papers (4)
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Oscillations of a bandlimited signal at a rate faster than the bandlimit are called “superoscillations” and have applications e.g. in superresolution and superdirectivity. The synthesis of superoscillating signals is a numerically difficult problem. Minimum energy superoscillatory signals seem attractive for applications because (i) the minimum-energy solution is unique (ii) it has t... View full abstract»

• ### Alternating Projections and Douglas-Rachford for Sparse Affine Feasibility

Publication Year: 2014, Page(s):4868 - 4881
Cited by:  Papers (17)
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The problem of finding a vector with the fewest nonzero elements that satisfies an underdetermined system of linear equations is an NP-complete problem that is typically solved numerically via convex heuristics or nicely-behaved nonconvex relaxations. In this work we consider elementary methods based on projections for solving a sparse feasibility problem without employing convex heuristics. It ha... View full abstract»

• ### Low-Sampling-Rate Ultra-Wideband Channel Estimation Using Equivalent-Time Sampling

Publication Year: 2014, Page(s):4882 - 4895
Cited by:  Papers (4)
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In this paper, a low-sampling-rate scheme for ultra-wideband channel estimation is proposed. The scheme exploits multiple observations generated by transmitting multiple pulses. In the proposed scheme, $P$ pulses are transmitted to produce channel impulse response estimates at a desired sampling rate, while the ADC samples at a rate... View full abstract»

• ### Resource Optimization of Non-Additive Utility Functions in Localized SC-FDMA Systems

Publication Year: 2014, Page(s):4896 - 4910
Cited by:  Papers (2)
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In this paper, we study the problem of resource allocation in SC-FDMA systems. A sum-utility maximization is considered where the utility of each user may be neither additive nor super additive. Unlike OFDMA, in addition to the restriction of allocating a subchannel to at most one user, the multiple subchannels allocated to a user in SC-FDMA must be consecutive. This makes the resource allocation ... 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