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Probability, Noise, and System Modeling
Instructor John Kerekes
Course Number IMGS-613-02
Jan 11, 2021
15 weeks
35 Seats

Noise, and System Modeling","This course develops models of noise and random processes within the context of imaging systems. The focus will be on stationary random processes in both one dimension (time) and two dimensions (spatial). Power spectrum estimation will be developed and applied to signal characterization in the frequency domain. The effect of linear filtering will be modeled and applied to signal detection and maximization of SNR. The matched filter and the Wiener filter will be developed. Signal detection and amplification will be modeled, using noise figure and SNR as measures of system quality. At completion of the course, the student should have the ability to model signals and noise within imaging systems.

  • Credits

    3 credit hours

    This 15 week course requires students to spend approximately 9 hours a week on course work.

  • Enrollment Restrictions

    Enrollment restrictions are subject to change. Please contact us for assistance.

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