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IEEE Signal Processing Society: Celebrating 75 Years of Remarkable Achievements

It is our great pleasure to introduce the first 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. When the Society was founded in 1948, we couldn’t imagine, for instance, how wireless networks of smartphones would be able to connect us easily at all times, or that an image processing algorithm would be able to detect cancer in a few seconds.

Empowering the Growth of Signal Processing: The evolution of the IEEE Signal Processing Society

Signal processing (SP) is a “hidden” technology that has transformed the digital world and changed our lives in so many ways. The field of digital SP (DSP) took off in the mid-1960s, aided by the integrated circuit and increasing availability of digital computers. Since then, the field of DSP has grown tremendously and fueled groundbreaking advances in technology across a wide range of fields with profound impact on society. 

The Evolution of Women in Signal Processing and Science, Technology, Engineering, and Mathematics

When I began writing this 75th anniversary article celebrating women in signal processing (SP), I reread the 1998 editorial titled “Fifty Years of Signal Processing: 1948–1998” [1] . At that time, IEEE had more than 300,000 members in 150 nations, the world’s largest professional technical Society. Within the IEEE umbrella, there were 37 IEEE Societies and technical groups, and the IEEE Signal Processing Society (SPS) was the oldest among its many Societies.

IEEE Signal Processing Society Flagship Conferences Over the Past 10 Years

Throughout the IEEE Signal Processing Society’s (SPS’s) history, conferences have functioned as a main way to connect within the Society, bringing together the signal processing research community to discuss and debate, establish research collaborations, and have a good time.

SP Magazine Special Issue on Signal Processing for the Integrated Sensing and Communications Revolution

Integrated sensing and communications (ISAC) systems result from a coordinated or joint design of sensing and communication functionalities to achieve efficient use of limited spectrum, operation with low cost and compact size hardware, additional sensing services for wireless networks, or improved system performance.

07 Nov.

Coarse-to-Fine CNN for Image Super-Resolution

A coarse-to-fine SR CNN (CFSRCNN) consisting of a stack of feature extraction blocks (FEBs), an enhancement block (EB), a construction block (CB) and, a feature refinement block (FRB) is proposed to learn a robust SR model.

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Industry Leaders in Signal Processing and Machine Learning: Dr. Yang Lei

Dr. Yang Lei is a Principal Research Engineer and Tech Lead at HP, leading the efforts of developing computer vision solutions for computing products. Her work has been applied to various domains, including video conferencing, life science, digital manufacturing, education, etc.