# IEEE Signal Processing Letters

## Filter Results

Displaying Results 1 - 14 of 14
• ### A New Generalized Paraunitary Generator for Complementary Sets and Complete Complementary Codes of Size${2^m}$

Publication Year: 2019, Page(s):4 - 8
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Complementary sequence sets (CSSs) and complete complementary codes (CCCs) have many applications in science and engineering, especially in wireless communications. A construction of CSS and CCC, having size$M = {2^m}$and length${M^K}$, where... View full abstract»

• ### A Novel Polynomial-Chaos-Based Kalman Filter

Publication Year: 2019, Page(s):9 - 13
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This letter proposes a new polynomial-chaos-based Kalman filter (PCKF) that is able to track the dynamics of nonlinear dynamical systems subject to strong nonlinearities. Specifically, by resorting to the polynomial chaos theory, the uncertainties of the model and the measurements can be effectively propagated through a set of collocation points. However, this polynomial-chaos-based algorithm suff... View full abstract»

• ### Efficient Discrete S-Transform Based on Optimally Concentrated Window

Publication Year: 2019, Page(s):14 - 18
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S-transform (ST) is a well-known tool for time–frequency analysis. However, the long taper of the Gaussian window (GW) and the scaling criterion lead to poor time resolution at lower frequencies and poor frequency resolution at higher frequencies. This letter proposes a novel optimally concentrated discrete window (OCDW) based on a constraint optimization problem of maximization of the product of ... View full abstract»

• ### Adaptive Beamforming With Sensor Position Errors Using Covariance Matrix Construction Based on Subspace Bases Transition

Publication Year: 2019, Page(s):19 - 23
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This letter proposes a narrowband interference-plus-noise covariance matrix (INCM) based beamformer, which is robust with sensor position errors for linear array. First, using the subspace fitting and subspace orthogonality techniques, we estimate a set of angle-related bases for the signal-plus-interference subspace (SIS) by solving a joint optimization problem. Second, we obtain the bases transi... View full abstract»

• ### Energy Efficient Online Power Allocation for Two Users With Energy Harvesting

Publication Year: 2019, Page(s):24 - 28
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In this letter, we propose an online power allocation (PA) method to maximize energy efficiency (EE) in energy harvesting systems with realistic battery constraints for two receivers. The optimization problem in this system configuration is challenging since it has a non-convex fractional form and the information of channel quality and the harvested energy can only be obtained causally in practice... View full abstract»

• ### Detection of People With Camouflage Pattern Via Dense Deconvolution Network

Publication Year: 2019, Page(s):29 - 33
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In this letter, we explore the detection of people with camouflage pattern in cluttered natural scenes. First, considering the lack of open evaluation and training data on camouflaged people detection, a specific dataset of camouflaged people in natural scenes is constructed by us for the first time to the best of our knowledge. Secon, due to the serious corruption of the discrimination of low-lev... View full abstract»

• ### Low-Complexity Detection for MIMO C-FBMC Using Orthogonal Approximate Message Passing

Publication Year: 2019, Page(s):34 - 38
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We propose a low-complexity and high-performance detector for multi-input multi-output circular filter bank multicarrier (C-FBMC) system on the basis of an orthogonal approximate message passing algorithm. Low complexity and high performance are realized through the use of a special structure of the modulation matrix and block diagonalization of the equivalent channel matrix in the frequency domai... View full abstract»

• ### Per-Channel Energy Normalization: Why and How

Publication Year: 2019, Page(s):39 - 43
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In the context of automatic speech recognition and acoustic event detection, an adaptive procedure named per-channel energy normalization (PCEN) has recently shown to outperform the pointwise logarithm of mel-frequency spectrogram (logmelspec) as an acoustic frontend. This letter investigates the adequacy of PCEN for spectrogram-based pattern recognition in far-field noisy recordings, both from th... View full abstract»

• ### Computational Efficient DOA, DOD, and Doppler Estimation Algorithm for MIMO Radar

Publication Year: 2019, Page(s):44 - 48
| | PDF (407 KB) | HTML

Joint direction-of-arrival (DOA), direction-of-departure (DOD), and Doppler estimation for multiple-input multiple-output (MIMO) radar usually are too time-consuming to implement because of high-dimensional searching procedures. This letter proposes a computational efficient algorithm for MIMO radar joint DOA, DOD, and Doppler estimation, which adopts an unstructured maximum likelihood method to s... View full abstract»

• ### Cardinality-Consensus-Based PHD Filtering for Distributed Multitarget Tracking

Publication Year: 2019, Page(s):49 - 53
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We present a distributed probability hypothesis density (PHD) filter for multitarget tracking in decentralized sensor networks with severely constrained communication. The proposed “cardinality consensus” (CC) scheme uses communication only to estimate the number of targets (or, the cardinality of the target set) in a distributed way. The CC scheme allows for different implementations—e.g., using ... View full abstract»

• ### PhaseNet: A Deep Convolutional Neural Network for Two-Dimensional Phase Unwrapping

Publication Year: 2019, Page(s):54 - 58
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Phase unwrapping is a crucial signal processing problem in several applications that aims to restore original phase from the wrapped phase. In this letter, we propose a novel framework for unwrapping the phase using deep fully convolutional neural network termed as PhaseNet. We reformulate the problem definition of directly obtaining continuous original phase as obtaining the wrap-count (integer j... View full abstract»

• ### Common Sparsity and Cluster Structure Based Channel Estimation for Downlink Massive MIMO-OFDM Systems

Publication Year: 2019, Page(s):59 - 63
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In this letter, we propose a new channel estimation scheme for downlink channels in massive multiple-input multiple-output systems, where orthogonal frequency-division multiplexing is adopted. To estimate the downlink channels in the multi-subcarrier scenario, the common sparsity and cluster structure is exploited, which is unknown to the user. The common sparsity property is described and a local... View full abstract»

• ### A Robust NLOS Bias Mitigation Technique for RSS-TOA-Based Target Localization

Publication Year: 2019, Page(s):64 - 68
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This letter proposes a novel robust mitigation technique to address the problem of target localization in adverse non-line-of-sight (NLOS) environments. The proposed scheme is based on combined received signal strength and time of arrival measurements. Influence of NLOS biases is mitigated by treating them as nuisance parameters through a robust approach. Due to a high degree of difficulty of the ... View full abstract»

• ### A Source Counting Method Using Acoustic Vector Sensor Based on Sparse Modeling of DOA Histogram

Publication Year: 2019, Page(s):69 - 73
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The number of sources present in a mixture is crucial information often assumed to be known or detected by source counting. The existing methods for source counting in underdetermined blind speech separation suffer from the overlapping between sources with low W-disjoint orthogonality. To address this issue, we propose to fit the direction-of-arrival (DOA) histogram with multiple von-Mises density... View full abstract»

## Aims & Scope

The IEEE Signal Processing Letters is a monthly, archival publication designed to provide rapid dissemination of original, cutting-edge ideas and timely, significant contributions in signal, image, speech, language and audio processing.

Full Aims & Scope

## Meet Our Editors

Editor-in-Chief
James E. Fowler
Dept Electrical & Computer Engineering
Associate Director
Distributed Analytics and Security Institute
Mississippi State University
Mississippi State, MS 39762 USA
fowler@ece.msstate.edu