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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.

Automation is Coming to Research

By: 
Dr. Pavel Loskot, Senior Lecturer, Swansea University

The rapid advancement and proliferation of information and communication technologies (ICT) in the past two decades significantly impacted how we do research. For instance, our research increasingly relies on growing computing power and storage capacity to gather and process the constant production of data - our observations of systems and phenomena we would like to understand, control, and improve.

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How Power Systems Authenticate Digital Recordings

By: 
A.V. Subramanyam

Digital media, particularly audio, plays a prominent role in crime investigation whether it relates to someone admitting to a crime or exposing illegal dealings between multiple parties. Yet, society is quick to dismiss potential evidence from mainstream media, social media and other platforms. 

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Machines are Watching the News and Signal Processing is at the Helm

By: 
Anca Popescu

In 2008, United Airlines baggage handlers in Chicago severely damaged Dave Carroll’s Taylor guitar worth $3,500. After nine months of unsuccessful pleas for compensation, Carroll wrote the song "United Breaks Guitars” – a YouTube hit with more than 17 million views. Four weeks later, the airline’s stock fell about 10 percent for a loss of $180 million.

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New Quality-Of-Experience Measurement Technologies: Streamlining How Videos Are Delivered To Consumers

By: 
Zhou Wang

Video distribution services have been growing exponentially in the past decade. Cisco Visual Network Index Report predicts that globally, IP video traffic will be 82 percent of all consumer Internet traffic by 2020, up from 70 percent in 2015. 

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How Signal Processing Supports Multibiometric Systems and Makes them More Secure

By: 
Rohitkumar Thanki

When you first hear the word “biometric,” it’s likely you make the connection to human beings. By definition, biometric means “life to measure.” There are many types of biometric characteristics, such as fingerprints, faces, eyes, speech and palmprints. Commonly used for individual recognition and authentication, these biometric characteristics comprise the biometric system.

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How Signal Processing Counts Your Steps

By: 
Atul Ingle

Smartwatches and activity trackers were once a novelty. Now, they’re ubiquitous. According to the market research firm, CCS Insight, the market for smartwatches is expected to grow threefold over the next five years. 

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The Science Behind Music: How Dıgial Signal Processing Powers Our Favorite Tunes

By: 
Dr. Ibrahim Atakan KUBİLAY

What if we lived in a world without music?  It’s utterly unthinkable. Music has long been an important part of human life.  Researchers found human remain alongside flutes made from animal bones dating more than 40,000 years ago1.  In ancient Greek mythology, muses were goddesses or water nymphs, inspiring humans in the fields of art and science, and spurring incredible developments2.

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Turbocharged: Under the Hood of the Wireless Revolution

By: 
Ramanan Thiyagarajan

The 2015 State of Broadband report produced by the UN Broadband Commission revealed 57 percent of the world’s people remain offline – unable to take advantage of the enormous economic and social benefits the internet offers.

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How MRIs are Changing How Society Looks at your Brain

By: 
Dale Mugler

Have you had an experience in an MRI scanner? Chances are you have or know someone who has. Magnetic Resonance Imaging produces detailed pictures of soft tissue in the human body – but, unlike many other techniques, it does not require any radiation.

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A New Era in Human Computer Interaction: Facial Expression Recognition

By: 
Cigdem Turan, Ph.D. Candidate at Hong Kong PolyU

How would you feel if electronic devices could recognize your emotion and take actions based on it? They could cheer you up with a joke when you are sad. They’d recognize sleepiness while you were driving, and help you understand if a person was in real pain or just claiming to be. They could differentiate the Duchenne smile from the forced one or detect depression using facial muscle movements. These applications aren’t promises of the future: they’re possible today with recent developments in signal processing and machine learning algorithms.

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