Discrete-Time Random Signals

Course #EC3410

Est.imated Completion Time: 3 months


Fundamentals of random processes are developed with an emphasis on discrete time for digital signal processing, control, and communications. Parameter estimation concepts are introduced, and impact of uncertainty in parameter evaluation (estimated moments and confidence intervals) are presented. Random processes are introduced. DKLT and applications to image processing and classification problems are considered. Impact of linear transformations to linear systems is discussed. FIR Wiener, and matched filters are introduced. IIR Wiener filter introduced, time permitting. Applications to signal and system characterization in areas such as system identification, forecasting, and equalizations are considered to illustrate concepts discussed during the course.

Included in degrees & certificates

  • 290


  • EC2410
  • EC2010
Offerings database access
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Application Deadlines

  •  08 Jan 2024

    Spring Quarter applications due

  •  01 Apr 2024

    Summer Quarter applications due

  •  08 Jul 2024

    Fall Quarter applications due

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Academic Calendar

  •  08 Dec 2023

    Last day of classes

  •  12 Dec 2023 – 14 Dec 2023

    Fall Quarter final examinations

  •  15 Dec 2023

    Fall Quarter graduation

See NPS Academic Calendar for more dates.