Real-Time Ultrasound Thermography and Thermometry
This article describes the basic principles of ultrasound thermography (UST) and its real-time implementation using graphics processing unit (GPU)…
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<p>Volume 35 | Number 2</p>
This article describes the basic principles of ultrasound thermography (UST) and its real-time implementation using graphics processing unit (GPU)…
Read moreAs we witness the fourth industrial revolution, several aspects of our daily lives will soon be impacted beyond recognition. The list includes health care, education, security, transportation, warfare, and entertainment.
Drilling is the riskiest activity in the oil-field exploration and development stage. Real-time measurements are needed to monitor drilling…
Read moreEnvironmental monitoring is a topic of increasing interest, especially concerning the matter of natural hazards prediction. Regarding volcanic unrest, effective methodologies along with innovative and operational tools are needed to monitor, mitigate, and prevent risks related to volcanic hazards.
For centuries, humans have been exploring the subsurface structure of planet Earth. Several Earth geophysical applications, such as mining,…
Read moreSpatial and immersive audio mimics real-world sound environments In an era of ubiquitous video, audio is often relegated to a secondary role. Yet…
Read moreIn this column of IEEE Signal Processing Magazine, 39 IEEE Signal Processing Society (SPS) members are recognized as IEEE Fellows and award…
Read moreMany ask me what signal processing should be doing in the age of big data. My answer is clear: signal processing should continue to generate big ideas. Big ideas for big data.
Our discipline has always advanced ingenious methods and theories, irrespective of the size of the data: small or big. Many of these ideas permeate disciplines far and wide, ranging from imaging to video; speech processing to coding and communications, forensics, security, and privacy; and also social media, machine learning, and data science.
Industry involvement is a significant area of interest for the IEEE Signal Processing Society (SPS). It is also a frequent topic of conversation at the SPS Board of Governors meetings. According to the SPS’s website (https:// signalprocessingsociety.org), 42% of our 19,000 members are from industry. Yet the number of attendees from industry of our flagship conference, the IEEE International Conference on Acoustics, Speech, and Signal Processing, is much lower, based on my best estimate from the sessions I attended.