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# IEEE Signal Processing Letters

## Filter Results

Displaying Results 1 - 9 of 9
• ### Designing Incoherent Frames With Only Matrix–Vector Multiplications

Publication Year: 2017, Page(s):1265 - 1269
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Designing frames with low mutual coherence is a challenging problem, with many applications in signal processing. We adopt an atom-by-atom optimization strategy for obtaining frames with a given mutual coherence. The underlying min-max problem is transformed into a weighted least squares problem, approximately solved with the shifted power method. The resulting algorithm is extremely simple, works... View full abstract»

• ### Two-Valued Periodic Complementary Sequences

Publication Year: 2017, Page(s):1270 - 1274
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We present a novel transform for periodic complementary sets (PCSs) over two-valued alphabets from a large set of difference families. This is achieved by generalizing Golomb's idea in 1992, which was for transformed perfect sequences with zero autocorrelations only. Based on the properties of difference family, a sufficient condition for such two-valued PCSs is derived. Systematic construc... View full abstract»

• ### Performance Tradeoff in a Unified Passive Radar and Communications System

Publication Year: 2017, Page(s):1275 - 1279
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Although radar and communication systems so far have been considered separately, recent advances in passive radar systems have motivated us to propose a unified system, capable of fulfilling the requirements of both radar and communications. In this paper, we provide performance tradeoff analysis for a system consisting of a transmitter, a passive radar receiver, and a communication receiver (CR).... View full abstract»

• ### An IHT Algorithm for Sparse Recovery From Subexponential Measurements

Publication Year: 2017, Page(s):1280 - 1283
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A matrix whose entries are independent subexponential random variables is not likely to satisfy the classical restricted isometry property in the optimal regime of parameters. However, it is known that uniform sparse recovery is still possible with high probability in the optimal regime if ones uses $\ell _1$-minimization as a... View full abstract»

• ### Adaptive Kalman Filtering by Covariance Sampling

Publication Year: 2017, Page(s):1288 - 1292
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It is well known that the performance of the Kalman filter deteriorates when the system noise statistics are not available a priori. In particular, the adjustment of measurement noise covariance is deemed paramount as it directly affects the estimation accuracy and plays the key role in applications such as sensor selection and sensor fusion. This letter proposes a novel adaptive ... View full abstract»

• ### Comparison of Different Methodologies of Parameter-Estimation From Extreme Values

Publication Year: 2017, Page(s):1293 - 1297
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This letter deals with the case where parameter estimation is required, but only observations of extreme values (i.e., the minimum observed value and/or the maximum observed value per interval) are available. We describe the theoretical grounds of the three leading methodologies of estimation from extremes, discuss the relations between them, and analyze the tradeoffs of the different methodologie... View full abstract»

• ### Non-Orthogonal Multiple Access Combined With Random Linear Network Coded Cooperation

Publication Year: 2017, Page(s):1298 - 1302
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This letter considers two groups of source nodes. Each group transmits packets to its own designated destination node over single-hop links and via a cluster of relay nodes shared by both groups. In an effort to boost reliability without sacrificing throughput, a scheme is proposed, whereby packets at the relay nodes are combined using two methods; packets delivered by different groups are mixed u... View full abstract»

• ### Cramer–Rao Bound for Noncoherent Direction of Arrival Estimation in the Presence of Sensor Location Errors

Publication Year: 2017, Page(s):1303 - 1307
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In previous work, we have shown that the noncoherent direction of arrival (DOA) estimation by an array of sensors is insensitive to sensor phase errors. Here, we analyze the effects of sensor location errors on noncoherent DOA estimation. In the presence of additive white Gaussian noise, we show that the distribution of magnitude-only measurements collected by a sensor array may be approximated by... View full abstract»

• ### Improved Sufficient Condition for Performance Guarantee in Generalized Orthogonal Matching Pursuit

Publication Year: 2017, Page(s):1308 - 1312
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We present sufficient conditions under which the generalized orthogonal matching pursuit algorithm recovers the true support set in the noiseless and noisy compressive sensing problems. We derive new bounds of inner products and norms of sparse signals using restricted isometry constants. The proposed sufficient conditions for the successful signal recovery are improved sufficient conditions over ... 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.

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## 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