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    SPS Conferences and Events

    The IEEE Signal Processing Society sponsors technical conferences, symposia and workshops dedicated to fostering networking opportunities with peers from around the world, and to exchange leading-edge, peer-reviewed scientific and technological knowledge. The Society hosts a number of worldwide events throughout the year, enabling members to exchange knowledge and network with leading scientists among many signal processing disciplines while exploring countries around the world. If you’re interested in attending an event or getting involved in the research or planning process, explore the calendar of events to learn more. Visit the Call for Papers page for conference call for paper submission deadlines. If you’re a student, you may be interested in attending one of the Society’s Seasonal Schools in Signal Processing (S3P) Program. The Society's Distinguished Lecturer Program provides means for chapters to have access to individuals who are well known educators and authors in the fields of signal processing.

     

    Choose from a List of our Events:

    14 Oct

    Israel Cohen (Israel Institute of Technology, Israel)

    Lecture Date: October 14, 2019
    Chapter: SPS Twin City Chapter
    Chapter Chair: Tao Zhang
    Topic: Array processing and beamforming with Kronecker products

    15 Oct

    Tulay Adali (University of Maryland Baltimore County, USA)

    Lecture Date: October 15, 2019
    Chapter: Thailand
    Chapter Chair: Supavadee Aramvith
    Topic: Data Fusion Through Matrix and Tensor Factorizations:
    An Overview of Solutions, Challenges, and Prospects

    15 Oct

    V. John Mathews (Oregon State University, USA)

    Lecture Date: October 15, 2019
    Chapter: Gujarat
    Chapter Chair: Suman Mitra
    Topic: Signal Processing for Neural Prostheses

    18 Oct

    V_John_Mathews.jpg

    V. John Mathews (Oregon State University, USA)

    Lecture Date: October 18, 2019
    Chapter: Kerala
    Chapter Chair: Suresh Kumaraswamy
    Topic: Signal Processing for Health Monitoring of Aerospace Structures

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