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The Latest News, Articles, and Events in Signal Processing
Date: 23 June 2023
Time: 11:00 AM | (UTC-04:00) Eastern Time (US & Canada)
Presenter(s): Dr. Qian Lin
Date: 11-15 July 2023
Chapter: UK & Ireland Chapters
Chapter Chair: Marwan M. Al-Akaidi
Title: TBD
Millimeter wave (mmWave) communications provide a promising solution to meet the proliferating demand for high data rate because of large bandwidth. The current “boomingly” deployed fifth generation communication system (5G) has not actually touched the dominant frequency band of mmWave and thus can hardly enjoy its merit on dramatically boosting transmission rate, which motivates us to conduct research on the ultimate implementation of mmWave communications.
Date: 26 September 2023
Time: 2:00 PM ET (New York Time)
Presenter(s): Dr. Shunqiao Sun, Dr. Yimin D. Zhang
Date: 30 November 2023
Time: 9:00 AM ET (New York Time)
Speaker(s): Dr. Xin Li
Date: 14 August 2023
Time: 2:00 PM ET (New York Time)
Speaker(s): Dr. Hossein Talebi, Dr. Peyman Milanfar
Date: 14 June 2023
Time: 4:00 PM CET (Local time)
Presenter(s): Dr. Anubha Gupta
Date: 13 June 2023
Time: 4:00 PM CET (Local time)
Presenter(s): Dr. Anubha Gupta
The Entrepreneurship Forum & Startup Fair, featured for the second year at ICASSP, the IEEE International Conference on Acoustics, Sound & Signal Processing. ICASSP is a conference of the IEEE Signal Processing Society (SPS).
The 75th anniversary of the IEEE Signal Processing Society (SPS) is an ideal time to look at the rapid advances in our field and the many ways that these increasingly powerful technologies have transformed our professions and the world. This is not just a time to celebrate past achievements and pat ourselves on the back, but also to educate young students and innovators about the history of our profession, the challenges we have overcome, and the breakthroughs that have led to the incredible growth of Signal Processing (SP).
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.
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.
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.
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.
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.
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.
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.
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