Compression is essential for efficient storage and transmission of signals. One powerful method for compression is through the application of orthogonal transforms, which convert a group of ${N}$ data samples into a group of ${N}$ transform coefficients. In transform coding, the ${N}$ samples are first transformed, and then the coefficients are individually quantized and entropy coded into binary bits

Integrated sensing and communications (ISAC) are envisioned to be an integral part of future wireless networks, especially when operating at the millimeter-wave (mm-wave) and terahertz (THz) frequency bands. However, establishing wireless connections at these high frequencies is quite challenging, mainly due to the penetrating path loss that prevents reliable communication and sensing. Another emerging

Provides society information that may include news, reviews or technical notes that should be of interest to practitioners and researchers.

In this “Lecture Notes” column, we show that it is possible to use deterministic arguments to gain some intuition into why using periodograms without averaging does not work well and why they “fail” in the way they do. We then explain how the probabilistic case can be seen as an extension of the deterministic case. Next, we give a brief description of the method of averaged periodograms and explain

The possibility of manipulating digital multimedia material is nowadays within everyone’s reach. In the audio case, anybody can create fake synthetic speech tracks using various methods with almost no effort [1] . These methods range from simple waveform concatenation operations to more complex neural networks [2] , [3] .

The objectives of IEEE Signal Processing Magazine ( SPM ) are to propose, for any IEEE Signal Processing Society (SPS) member and beyond, a wide range of tutorial articles on both methods and applications in signal and image processing. The articles are divided into different categories: feature articles, column and forum articles, and articles in special issues, the specificities of which are detailed

As we gear up for the International Conference on Acoustics, Speech, and Signal Processing (ICASSP) 2024, it is essential to take a moment to celebrate the achievements and highlights of ICASSP 2023, which took place on Rhodes Island, Greece, this past June. ICASSP 2023 was a momentous event as it marked the first postpandemic ICASSP, and the return to in-person meetings. With the theme “Signal Processing

Provides society information that may include news, reviews or technical notes that should be of interest to practitioners and researchers.

Nikola Tesla said: “If you want to find the secrets of the universe, think in terms of energy, frequency and vibration.” Unfortunately, this is a hieroglyph, and we are still looking for its Rosetta Stone.

Quaternions are still largely misunderstood and often considered an “exotic” signal representation without much practical utility despite the fact that they have been around the signal and image processing community for more than 30 years now. The main aim of this article is to counter this misconception and to demystify the use of quaternion algebra for solving problems in signal and image processing

Deep learning (DL) has been wildly successful in practice, and most of the state-of-the-art machine learning methods are based on neural networks (NNs). Lacking, however, is a rigorous mathematical theory that adequately explains the amazing performance of deep NNs (DNNs). In this article, we present a relatively new mathematical framework that provides the beginning of a deeper understanding of DL

Inference tasks in signal processing are often characterized by the availability of reliable statistical modeling with some missing instance-specific parameters. One conventional approach uses data to estimate these missing parameters and then infers based on the estimated model. Alternatively, data can also be leveraged to directly learn the inference mapping end to end. These approaches for combining

I welcome you to the third issue of the IEEE Communications Surveys and Tutorials in 2023. This issue includes 18 papers covering different aspects of communication networks. In particular, these articles survey and tutor various issues in “Wireless Communications,” “Cyber Security,” “IoT and M2M,” “Internet Technologies,” “Network Virtualization,” and “Network and Service Management and Green Communications

Low Earth Orbit (LEO) satellites undergo a period of rapid development driven by ever-increasing user demands, reduced costs, and technological progress. Since there is a lack of literature on the security and reliability issues of LEO Satellite Communication Systems (SCSs), we aim to fill this knowledge gap. Specifically, we critically appraise the inherent characteristics of LEO SCSs and elaborate

The ICASSP 2023 conference in Rhodes, Greece, was remarkable from multiple perspectives. Notably, this was the first fully in-person ICASSP after three consecutive virtual conferences, which were necessitated by the COVID-19 pandemic. Attendees fully embraced the opportunity to engage in live interactions and reestablish their networks.

Provides society information that may include news, reviews or technical notes that should be of interest to practitioners and researchers.

It is our great pleasure to introduce the second part of this special issue to you! The IEEE Signal Processing Society (SPS) has completed 75 years of remarkable service to the signal processing community. The eight selected articles included in this second part are clear portraits of that. As the review process for these articles took longer, however, they could not be included in the first part of

Audio signal processing has passed many landmarks in its development as a research topic. Many are well known, such as the development of the phonograph in the second half of the 19th century and technology associated with digital telephony that burgeoned in the late 20th century and is still a hot topic in multiple guises. Interestingly, the development of audio technology has been fueled not only

In this article, we summarize the evolution of speech and language processing (SLP) in the past 25 years. We first provide a snapshot of popular research topics and the associated state of the art (SOTA) in various subfields of SLP 25 years ago, and then highlight the shift in research topics over the years. We describe the major breakthroughs in each of the subfields and the main driving forces that

Twenty-five years ago, the field of computational imaging arguably did not exist, at least not as a standalone arena of research activity and technical development. Of course, the idea of using computation to form images had been around for several decades, largely thanks to the development of medical imaging—such as magnetic resonance imaging (MRI) and X-ray tomography—in the 1970s and synthetic-aperture

In multidimensional signal processing, such as image and video processing, superresolution (SR) imaging is a classical problem. Over the past 25 years, academia and industry have been interested in reconstructing high-resolution (HR) images from their low-resolution (LR) counterparts. We review the development of SR technology in this tutorial article based on the evolution of key insights associated

Information forensics and security (IFS) is an active R&D area whose goal is to ensure that people use devices, data, and intellectual properties for authorized purposes and to facilitate the gathering of solid evidence to hold perpetrators accountable. For over a quarter century, since the 1990s, the IFS research area has grown tremendously to address the societal needs of the digital information

Brain–computer interfaces (BCIs) employ neurophysiological signals derived from the brain to control computers or external devices. By enhancing or replacing human peripheral functioning capacity, BCIs offer supplementary degrees of freedom, significantly improving individuals’ quality of life, particularly offering hope for those with locked-in syndrome (LIS). Moreover, BCI applications have expanded

This article reviews significant advances in networked signal and information processing (SIP), which have enabled in the last 25 years extending decision making and inference, optimization, control, and learning to the increasingly ubiquitous environments of distributed agents. As these interacting agents cooperate, new collective behaviors emerge from local decisions and actions. Moreover, and significantly

Radar and communications (R&C) as key utilities of electromagnetic (EM) waves have fundamentally shaped human society and triggered the modern information age. Although R&C had been historically progressing separately, in recent decades, they have been converging toward integration, forming integrated sensing and communication (ISAC) systems, giving rise to new highly desirable capabilities in next-generation

A definition of intelligence is not in sight. But, for sure, designing intelligent machines is a key driver of technology, and understanding the working of animal intelligence is a key driver of science. There is no doubt that feedback and uncertainty play a role in the problem, providing splendid control questions for high-techs and scientists alike.

In [1] , an error was introduced to the signature of the introductory paragraph. It should have read as below:

This issue of IEEE Control Systems includes two feature articles and one “Applications of Control” column article. The first feature article, “Microscale 2D Particle Position Control,” is authored by Ion Matei, Maksym Zhenirovskyy, Johan de Kleer, and Anne Plochowietz [A1] . The authors have designed a method for moving small objects immersed in a dielectric fluid, using an array of thousands of electrodes

Quite a bit has already been written about how we, as a controls community, should respond to the rise of artificial intelligence (AI), and how our tools, models, and techniques should best be deployed alongside data-driven, machine learning (ML) algorithms. From safe learning and formal verification of neural networks to data-driven control, we have seen several interesting and fruitful new venues

Provides society information that may include news, reviews or technical notes that should be of interest to practitioners and researchers.

Many control objectives can be expressed in terms of a criterion function. Generally, explicit solutions to such optimization problems require full knowledge of the plant and disturbances, and complete freedom in the complexity of the controller. In practice, the plant and the disturbances are seldom known, and it is often desirable to achieve the best possible performance with a controller of prescribed

Provides society information that may include news, reviews or technical notes that should be of interest to practitioners and researchers.

Provides society information that may include news, reviews or technical notes that should be of interest to practitioners and researchers.

Provides society information that may include news, reviews or technical notes that should be of interest to practitioners and researchers.

The contagious coronavirus disease 2019 (COVID-19) caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) was identified in Wuhan, China, in December 2019. Observing the virus spreading rapidly to other countries across the world led the World Health Organization (WHO) to declare a Public Health Emergency of International Concern on 30 January 2020 and to characterize the outbreak

In this issue of IEEE Control Systems , we speak with Cristina Stoica, a professor at CentraleSupélec, Laboratoire des Signaux et Systèmes (L2S), Université Paris-Saclay, France; Samer S. Saab, a professor of electrical engineering at Lebanese American University (LAU), Byblos, Lebanon; and Umit Ozguner, emeritus professor at The Ohio State University (OSU), Columbus, OH, USA.

Q. How did your education and early career lead to your initial and continuing interest in the control field?

Q. How did your education and early career lead to your initial and continuing interest in the control field?

Q. How did your education and early career lead to your initial and continuing interest in the control field?

Our goal is to design and build a printer-like system for assembling microparticles into engineered patterns. The assembly into desired patterns is based on feedback control that tracks the particles and makes corrections to the particle positions until the desired pattern is achieved (see “Summary” and “Xerography for Microelectronics” for more details on xerography and assembly for microelectronics)

The field of aerial robotics is growing rapidly, along with the promise of assisting human operators with tasks that are hazardous, inaccessible, or time consuming [1] . Military and law enforcement organizations are especially interested in such capabilities due to the naturally hazardous nature of their missions, driving them to become early supporters and adopters. A particularly challenging mission

In this issue of IEEE Control Systems , we speak with Ingvar Ziemann, a postdoctoral researcher at the University of Pennsylvania, and Anthony Thompson, a senior researcher at the John’s Hopkins Applied Physics Laboratory.

Q. How would you pitch your Ph.D. dissertation in one paragraph?

Q. How would you pitch your Ph.D. dissertation in one paragraph?

Rio de Janeiro is a well-known, international tourist destination, and its charms also attract visitors to its many reputed institutions, among them the Federal University of Rio de Janeiro (UFRJ). Within the university, the Graduate School of Engineering (COPPE), which is composed of 13 graduate engineering programs, is a center of excellence in engineering. The Control, Automation, and Robotics (CAR)

The review of this book is centered on the sheer quality and profoundness with which the author guides a reader through all aspects of solving a general optimal control problem numerically. The basis of the methodology is nonlinear programming, and when traversing the book, the author makes it abundantly clear that optimal control is inextricably bound to nonlinear programming. In fact, the connection

Provides society information that may include news, reviews or technical notes that should be of interest to practitioners and researchers.

Provides society information that may include news, reviews or technical notes that should be of interest to practitioners and researchers.

Recounts the career and contributions of Roger Ware Brockett.

As you have already guessed from the title, and in line with my editorial in the March 2023 issue, I will use my space here to address two different points. First, the reader will find a summary of the contents of this issue, which is useful to those who would like to quickly navigate the issue and read only what they are interested in. The second part of this editorial will be devoted instead to better

Hello and nice to see you again! My name is Mariko Burgin, and I am the IEEE Geoscience and Remote Sensing Society (GRSS) President. You can reach me at president@ieee-grss.org and @GRSS_President on Twitter.

Recent advances in remote sensing hyperspectral imaging and artificial intelligence (AI) bring exciting opportunities to various fields of science and industry that can directly benefit from in-orbit data processing. Taking AI into space may accelerate the response to various events, as massively large raw hyperspectral images (HSIs) can be turned into useful information onboard a satellite; hence

Onboard information fusion for multisatellites, which is based on spatial computing mode, can improve the satellites’ capability, such as the spatial–temporal coverage, detection accuracy, recognition confidence, position precision, and prediction precision for disaster monitoring, maritime surveillance, and other emergent or continuous persistent observing situations. First, we analyze the necessity

Recent advances in artificial intelligence (AI) have significantly intensified research in the geoscience and remote sensing (RS) field. AI algorithms, especially deep learning-based ones, have been developed and applied widely to RS data analysis. The successful application of AI covers almost all aspects of Earth-observation (EO) missions, from low-level vision tasks like superresolution, denoising

The first phase of 2023 has been marked with an explosion of interest around generative AI systems, which generate content. This type of machine learning promises to enable the creation of synthetic data and outputs in many different modalities. OpenAI’s ChatGPT has certainly taken the world by storm and opened discourse on how the technology should be used.

Provides society information that may include news, reviews or technical notes that should be of interest to practitioners and researchers.

Provides society information that may include news, reviews or technical notes that should be of interest to practitioners and researchers.

Provides society information that may include news, reviews or technical notes that should be of interest to practitioners and researchers.

The satellite communications (SatCom) system is a representative technology for global coverage and seamless communications in next-generation communication systems. This paper is a survey of basic studies and recent research trends for multiple input multiple output (MIMO) SatCom. Specifically, we describe and provide the differences between terrestrial networks and SatCom. Furthermore, we categorize

Contrary to orthogonal multiple-access (OMA), non-orthogonal multiple-access (NOMA) schemes can serve a pool of users without exploiting the scarce frequency or time domain resources. This is useful in meeting the future network requirements (5G and beyond systems), such as, low latency, massive connectivity, users’ fairness, and high spectral efficiency. On the other hand, content caching restricts