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Foundations of Signal Processing for Engineers and Data Scientists
June 21, 2022 @ 8:00 am - June 23, 2022 @ 12:00 pm
Special Invite from Instructor Barry Van Veen
Signal Processing is a core technology behind many of the consumer products we use in our everyday lives and is a critical component of industrial products and manufacturing processes. This course introduces the foundations of signal processing methods used to acquire and manipulate digitized signals such as voice, images, radar, position, environmental and medical measurements.
Through a combination of theory, examples, and hands-on experience, attendees will learn the following:
- What is signal processing?
- Principles for digitizing data
- How to interpret signals in terms of frequency
- Common methods for manipulating signals, including filters and the fast Fourier transform
- Applications of advanced methods such as modeling and denoising
No prior knowledge of signal processing is assumed. Prior exposure to STEM fields will be helpful.
After this course, we expect that attendees should be able to:
- Understand the language and foundational concepts of the field of signal processing
- Know how to sample signals for subsequent analysis
- Recognize the tradeoffs involved in estimating spectra from sampled data
- Design basic frequency selective filters
- Appreciate advanced applications such as predictive modeling, denoising, and compression
Who Should Attend?
- Anyone in engineering, manufacturing or technology roles, including:
- R&D and Design engineers
- Data scientists
- Quality engineers
- Company leadership looking for a better understanding of how signal processing works and why it is important for current and future products and processes