"Modern Signaling Processing Techniques for Atmospheric Sensors"
SPEAKER: Dr. Matt Hayman - Project Scientist II for EOL Remote Sensing Facility
DATE: April 26, 2022
Time: 3:30 - 4:30 pm MST
QUESTIONS: Slido will be used to answer your questions during the seminar.
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ABSTRACT
Random noise is a common problem in observations. We often apply averaging to suppress random noise, however, averaging can also suppress true structure in the measured variable and therefore create additional errors. Insufficient averaging results in excessive errors from random noise, while excessive averaging will result in excessive errors due to biases. This creates a “Goldilocks” problem, where our goal is to apply signal processing that averages “just right” for the particular scene under observation. Modern signal processing techniques – adapted from medical imaging -– can be applied to address this problem in atmospheric sensors. The impact of these techniques on the MicroPulse DIAL data products, and new research opportunities, will be discussed.
For more information or questions, reach out to EOL Seminar Series Coordinator Jacquie Witte.
