IEEE Transactions on Signal Processing

Scope

The IEEE Transactions on Signal Processing (TSP) covers novel theory, algorithms, performance analyses and applications of techniques for the processing, understanding, learning, retrieval, mining, and extraction of information from signals. The term "signal" includes, among others, audio, video, speech, image, communication, geophysical, sonar, radar, medical and musical signals. Examples of topics of interest include, but are not limited to, information processing and the theory and application of filtering, coding, transmitting, estimating, detecting, analyzing, recognizing, synthesizing, recording, and reproducing signals.

The scope is reflected in the EDICS: the Editors` Information Classification Scheme.
The Transactions publish original, timely and significant contributions. Submissions must be previously unpublished and may not be under considerations elsewhere. Technical papers are submitted via Manuscript Central (see Author`s Instructions). Please consider the journal with the most appropriate scope for your submission.

Abstracts and indexing

The Transactions is listed in AMS MathSciNet (Mathematical Reviews Database), Current Contents (Engineering, Computing & Technology, Electronics & Telecommunications Collection), CompuMath citation index, EI Compendex, IEE INSPEC, ISI Science Citation Index, ISI SciSearch, Scitation Research Alerts, PubMed, Medline.

Reproducible research

The Transactions encourages authors to make their publications reproducible by making all information needed to reproduce the presented results available online. This typically requires publishing the code and data used to produce the publication`s figures and tables on a website; see the supplemental materials section of the information for authors. It gives other researchers easier access to the work, and facilitates fair comparisons.

Multimedia content

It is now possible to submit for review and publish in Xplore supporting multimedia material such as speech samples, images, movies, matlab code etc. A multimedia graphical abstract can also be displayed along with the traditional text. More information is available under Multimedia Materials at the IEEE Author Center.

TSP Volume 69 | 2021

Receiver Design With Reduced DOF in Frequency Domain for Target Detection Under Gaussian Clutter

This paper addresses the problem of target detection against a background of Gaussian clutter by using frequency snapshots with reduced degrees of freedom (DOF). We derive the optimal detector and detection performance under the Neyman-Pearson criterion for general frequency snapshot selection with arbitrary DOF. When the clutter statistics are unknown, we use a uniformly random frequency snapshot selection method and show how the DOF employed affects the detection performance.

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Power Allocation for Coexisting Multicarrier Radar and Communication Systems in Cluttered Environments

In this paper, power allocation is examined for the coexistence of a radar and a communication system that employ multicarrier waveforms. We propose two designs for the considered spectrum sharing problem by maximizing the output signal-to-interference-plus-noise ratio (SINR) at the radar receiver while maintaining certain communication throughput and power constraints.

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Wirtinger Flow Meets Constant Modulus Algorithm: Revisiting Signal Recovery for Grant-Free Access

In this work, we analyze the convergence of constant modulus algorithm (CMA) in blindly recovering multiple signals to facilitate grant-free wireless access. The CMA typically solves a non-convex problem by utilizing stochastic gradient descent. The iterative convergence of CMA can be affected by additive channel noise and finite number of samples, which is a problem not fully investigated previously.

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Statistical Inference for the Expected Utility Portfolio in High Dimensions

In this paper, using the shrinkage-based approach for portfolio weights and modern results from random matrix theory we construct an effective procedure for testing the efficiency of the expected utility (EU) portfolio and discuss the asymptotic behavior of the proposed test statistic under the high-dimensional asymptotic regime, namely when the number of assets p increases at the same rate as the sample size n such that their ratio p/n approaches a positive constant c∈(0,1) as n→∞ .

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