IEEE Signal Processing Magazine Research Articles

SPM Is Your Magazine—You Are Both Reader and Author: Contribute to IEEE Signal Processing Magazine [From the Editor

SPM Is Your Magazine—You Are Both Reader and Author: <i>Contribute to</i> IEEE Signal Processing Magazine [From the Editor

Physics-Driven Machine Learning for Computational Imaging: Part 2 [From the Guest Editors

Thanks to the tremendous interest from the research community, the focus of the March issue of the <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">IEEE Signal Processing Magazine</i> is on the second volume of the special issue on physics-driven machine learning for computational imaging, which brings together nine articles of the 19 accepted papers from the original 47 submissions.

Scientific Integrity: A Duty for Researchers [From the Editor

Ethics in science is essential for various reasons and is a duty for scientists. The full sense of the word <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">ethics</i> may differ according to languages and countries. For instance, in France, we typically make a distinction between ethics and scientific integrity, while scientific integrity is a part of ethics in the United States. For instance, the article “The Submerged Part of the AI-Ceberg,” <xref ref-type="bibr" rid="ref1" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">[1]</xref> published in the September issue of <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">IEEE Signal Processing Magazine</i> ( <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">SPM</i> ), discusses the ethical issues concerning the research in our domain, i.e., a set of philosophical reflections on the interest and usefulness of our work for humanity and for the Earth. These questions are complex and must prompt debates between scientists and society. Conversely, scientific integrity is a set of good practices in the sciences, which has not been discussed but is strictly applied. All of the learned scientific societies promote integrity. Of course, IEEE, as such and also as a publisher of many scientific journals, strongly supports scientific integrity. Scientific integrity and misconduct are at the core of a few talks <xref ref-type="bibr" rid="ref2" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">[2]</xref> at the annual IEEE Panels of Editors meeting, which bring together volunteers and staff members to discuss assorted publication-related topics. Serious failures related to scientific integrity include plagiarism and data falsification or fabrication, but misconduct related to authorship and during the review process are also unacceptable and must be met with punishment.

Trusting in the Sciences Requires Explainability [From the Editor

The July issue of <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">IEEE Signal Processing Magazine</i> ( <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">SPM</i> ) is a special issue focused on “Explainability in Data Science: Interpretability, Reproducibility, and Replicability.” With increased enthusiasm for machine learning, it is a very timely topic, and I invite every IEEE Signal Processing Society (SPS) member to read these very instructive papers.

Affects and Emotions in IEEE Signal Processing Magazine [From the Editor

IEEE Signal Processing Magazine ( SPM ) is a fully edited magazine. This means that, after the review process, the final files provided by the authors are processed by a team of editors under the supervision and the responsibility of the magazine’s managing editor, Jessica Welsh. The contributions of Jessica and the editorial and production teams are very important, since they transform all the final files, figures, and images, into aesthetically pleasing articles that can have colorful sidebars, catchy, short titles, etc. Even if text is not changed substantially, the articles become much more visually attractive after they have been edited. These changes are unanimously appreciated by the authors, who usually cannot recognize their final articles!

IEEE Signal Processing Magazine Special Issue on Explainability in Data Science: Interpretability, Reproducibility, and Replicability

IEEE Signal Processing Magazine Special Issue on Explainability in Data Science: Interpretability, Reproducibility, and Replicability

Starting a Three-Year Journey With IEEE Signal Processing Magazine [From the Editor

Presents the introductory editorial for this issue of the publication.

Autonomous Driving: Part 2-Learning and Cognition [From the Guest Editors

This special issue covering autonomous driving is presented in two parts: Part 1—Sensing and Perception was published in the July 2020 issue of IEEE Signal Processing Magazine and this issue, Part 2—Learning and Cognition. Learning and cognition models and, in particular, deep learning-based models are at the core of autonomous vehicles and automated driving. Autonomous driving and, more generally, automated driving are receiving increasing attention, and significant resources are being deployed to enable safe, reliable, and efficient automated mobility in real-world environments.

IEEE Signal Processing Magazine Special Issue: Innovation Starts with Education

IEEE Signal Processing Magazine Special Issue: Innovation Starts with Education

What Does an Editor-in-Chief of IEEE Signal Processing Magazine Do, Anyway? [From the Editor

Reports on the role and responsibilities of the Editor-in-Chief of the IEEE Signaling Processing Magazine.

Organizing a Special Issue of IEEE SPM [From the Editor

In my September editorial [1], I outlined the important components of good feature articles in response to feedback from our recent IEEE Periodicals Review and Advisory Committee (PRAC) meeting. In this issue's editorial, I discuss the process of organizing a special issue (SI) for IEEE Signal Processing Magazine (SPM) . The purpose is twofold. First, I want to encourage readers to become involved in organizing an SI. Second, I want provide more information about the decision-making process so that authors understand how they can have an article accepted.

Learning Algorithms and Signal Processing for Brain-Inspired Computing [From the Guest Editors

The articles in this special section focuses on machine learning (ML) and signal processing algorithms for bio-inspired computing. The articles bring together key researchers in this area to provide readers of IEEE Signal Processing Magazine with up-to-date and survey-style articles on algorithmic, hardware, and neuroscience perspectives on the state-of- the-art aspects of this emerging field.

The Mystery Curve-Part 2: Local Symmetry and Frieze Groups [Lecture Notes

In this article, we continue to study the mystery curve, which was originally named by Farris [1] and discussed in the first part of this two-part article in IEEE Signal Processing Magazine [2]. The mystery curve has an N -fold property with additional local symmetry as shown in Figure 1. In particular, we focus on symmetric patterns, including translation, reflection, rotation, and glide reflection. This class of patterns is called a frieze group . We show how to construct frieze groups with trigonometric functions and extend this method to the mystery-curve design.

No-Convex Optimization for Signal Processing and Machine Learning: Special Issue for IEEE Signal Processing Magazine

No-Convex Optimization for Signal Processing and Machine Learning: Special Issue for IEEE Signal Processing Magazine

Feedback from the IEEE Signal Processing Magazine Board Meeting in 2019 [From the Editor

Feedback from the IEEE Signal Processing Magazine Board Meeting in 2019 [From the Editor

IEEE Signal Processing Magazine and University Rankings [From the Editor

IEEE Signal Processing Magazine and University Rankings [From the Editor

Recent Advances in Music Signal Processing [From the Guest Editors

In this special issue of IEEE Signal Processing Magazine (SPM), we survey recent advances in music processing with a focus on audio signals. Eleven articles cover topics including music analysis, retrieval, source separation, singing-voice processing, musical sound synthesis, and user interfaces, to name a few. The tutorial-style articles provide an overview of theory and applications and discuss main advances. Although music processing has benefited a lot from traditional fields, such as signal processing, we hope to convince the reader that the rich and challenging problem domain of music also has many things to offer to signal processing and other research disciplines.

Reproducible Research: Best Practices and Potential Misuse [Perspectives

The scientific world is becoming more open to the public and fellow researchers. Open access publishing is becoming accepted, even if some publishers are resisting. The next step is the open code and data paradigm, which was briefly discussed in the "From the Editor" column in the November 2018 issue of IEEE Signal Processing Magazine (SPM) [1]. In this column, I follow up on this topic by sharing my experiences, best practices, and thoughts about reproducible research.

AN ASSESSMENT OF SPATIAL VARIATION OF LAND SURFACE CHARACTERISTICS OF MINNA, NIGER STATE NIGERIA FOR SUSTAINABLE URBANIZATION USING GEOSPATIAL TECHNIQUES

AN ASSESSMENT OF SPATIAL VARIATION OF LAND SURFACE CHARACTERISTICS OF MINNA, NIGER STATE NIGERIA FOR SUSTAINABLE URBANIZATION USING GEOSPATIAL TECHNIQUES

Taking the Next Step for IEEE Signal Processing Magazine [From the Editor

Taking the Next Step for IEEE Signal Processing Magazine [From the Editor