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10 years of news and resources for members of the IEEE Signal Processing Society

Publications News

The explosive growth in the use of smart mobile devices such as smartphones and wireless modems has led to an exponentially increasing demand for wireless data services. 

Spectrum sensing in a large-scale heterogeneous network is very challenging as it usually requires a large number of static secondary users (SUs) to obtain the global spectrum states. To tackle this problem, the paper, entitled Mobile Collaborative Spectrum Sensing for Heterogeneous Networks:...

The field of information theory - dating back to the seminal work by Claude E. Shannon in 1948 - is considered to be one of the landmark intellectual achievements of the 20th century, underpinning advances in compression and communication of data that underpins the information age. In particular, information-theoretic methods have been used to illuminate fundamental limits and gauge the effectiveness of algorithms for various problems in statistical decision theory, data communications, data compression, security, and networking.

The Internet of Things (IoT ) refers to the wireless connection of ordinary objects, such as vehicles, cash machines, door locks, cameras, industrial controls, and municipal traffic systems, to the Internet.

Massive MIMO is a compelling wireless access concept that relies on the use of an excess number of base-station antennas, relative to the number of active terminals. This technology is a main component of 5G New Radio and addresses all important requirements of future wireless standards: a great capacity increase, the support of many simultaneous users, and improvement in energy efficiency.

In today’s big and messy data age, there is a lot of data generated everywhere around us. Examples include texts, tweets, network traffic, changing Facebook connections, or video surveillance feeds coming in from one or multiple cameras. Dimension reduction and noise/outlier removal are usually important preprocessing steps before any high-dimensional (big) data set can be used for inference.

Five years ago, engineers at NASA started to think about using a large number of electric motors to create a blown wing, later naming the project LEAPTech, for Leading Edge Asynchronous Propeller Technology. The novel configuration was based on an old concept: The idea—known as a “blown wing”—was to propel air at high speed over the wing using many motors and propellers mounted along the leading edge. 

The health care industry may seem the ideal place to deploy artificial intelligence systems. Each medical test, doctor’s visit, and procedure is documented, and patient records are increasingly stored in electronic formats. AI systems could digest that data and draw conclusions about how to provide better and more cost-effective care. Plenty of researchers are building such systems: 

Critical infrastructures such as the smart electric power grid, gas and water utility networks, transportation networks, and communication networks are crucially supporting quality of life and economic growth. Future critical infrastructures are envisioned to integrate sensory data acquisition, communication and computation technologies, and signal processing to offer improved services to their end-users.

The problem of pervasive indoor localization still remains largely unsolved due to the difficult propagation conditions. Some IoT applications will require real-time localization with submeter accuracy in GNSS-challenged environments.

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