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IEEE Signal Processing Society Blog


The SPS blog aims to raise awareness about signal processing and Society-related topics to a general interest audience in an engaging, informal, and non-technical way. If you're interested in contributing to the SPS blog, please contact the SPS Blog Team at sps-blog@ieee.org for more information.

How to Realize Data Sharing With Sensitive Information Hiding in Remote Data Integrity Auditing

By: 
Ms. Wenting Shen, Prof. Jing Qin, and Prof. Jiankun Hu

With the explosive growth of data, it is a heavy burden for users to store the sheer amount of data locally. Therefore, more and more organizations and individuals would like to store their data in the cloud. However, the data stored in the cloud might be corrupted or lost due to the inevitable software bugs, hardware faults and human errors in the cloud. 

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Adaptive Importance Sampling: The Past, the Present, and the Future

By: 
Dr. Victor Elvira

Monte Carlo (MC) methods are a set of fascinating computational techniques that have attracted ever-increasing attention in the last decades. They are based on the simulation of random samples that are used for diverse purposes, such as numerical integration or optimization.

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Deep Learning on Graphs: History, Successes, Challenges, and Next Steps

By: 
Michael Bronstein

Deep learning on graphs, also known as Geometric deep learning (GDL) [1], Graph representation learning (GRL), or relational inductive biases, has recently become one of the hottest topics in machine learning. While early works on graph learning go back at least a decade [2], if not two [3], it is undoubtedly the past few years’ progress that has taken these methods from a niche into the spotlight of the Machine Learning (ML) community.

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Artificial Intelligence in Radio Frequencies

By: 
Fatemeh Shah Mohammadi

Artificial intelligence (AI) and machine learning (ML) as an application of AI, has today become an inevitable part of major industries such as healthcare, financial trending, and transportation. Future urgent need to intelligently utilize wireless resources to meet the need of ever-increasing diversity in services and user behavior, has actuated the wireless communication industry to deploy AI and ML techniques.

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SPS Technical Committee Spotlight - Erik Meijering

Erik Meijering, the current Chair of SPS’s Bio Imaging and Signal Processing (BISP) Technical Committee, has been pursuing his passion in signal processing from the onset of his education. Realizing early on the vast and evolving ways that signal processing can unlock solutions for the advancement of technology, Erik’s studies began in digital image processing and eventually focused on applications in biomedical imaging for his PhD.

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What Is the Future of Medical Imaging Technology?

If you’ve ever been to the emergency room due to an injury, chances are you’ve had a routine encounter with what is in fact a wonder of the modern age: Magnetic Resonance Imaging, or MRI. Advancements in medical imaging allow us to study parts of the body, including the brain, to an extent unprecedented in the history of medical science.

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Meet an Engineer Whose Work Optimizes Your Streaming Video Experience

By: 
Interview with Alan Bovik

Alan Bovik has a storied career. An American engineer, vision scientist and Primetime Emmy Award winner, Bovik holds the Cockrell Family Endowed Regents Chair in Engineering at The University of Texas at Austin, where he has been the Director of the Laboratory for Image and Video Engineering for more than three decades.

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What Are the Benefits of Speech Recognition Technology?

Speech recognition technology allows computers to take spoken audio, interpret it and generate text from it. But how do computers understand human speech? The short answer is…the wonder of signal processing. 

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What Do You Need to Know About the Impact of Signal Processing Technology on TV?

The choice of television programs (and arguably their quality) has exponentially expanded since the first TV was introduced. But the basic concept of watching TV hasn’t changed much. We see video images, whether live or recorded, in two dimensions. 

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3 Reasons Why Signal Processing is the Career of the Future

When deciding on a career path, you’re likely to have different considerations in mind. You want to have a skillset for which there is a wide demand in growing industries. You also need to be certain your expertise will remain relevant in the technologically uncertain years to come, when AI and automation will change many of our jobs as we know it.

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