ELEC 531_ Statistical Signal Processing syllabus

ELEC 531_ Statistical Signal Processing syllabus - ELEC 531...

Info icon This preview shows pages 1–2. Sign up to view the full content.

ELEC 531: Statistical Signal Processing: Course Outline ELEC 531: Statistical Signal Processing Fall 2007 The Basics Instructor: Michael Lexa Lectures: Tuesday, Thursday 1:00-2:20 p.m., Herzstein 118 Office hours: Mondays 2-4 p.m. DH 2031 or by appointment Graders: Debashi Dash, Mona Sheikh Description Introductory graduate level course in statistical signal processing. This course focuses on the roles---good and bad---that stochastic signals play. Some interesting signals, e.g. communication and neural signals, are by their very nature stochastic. Deterministic signals, when measured in the presence of random noise, can also be modeled as stochastic signals. Statistical signal processing develops optimal algorithms to extract information from or in the presence of stochastic signals. All of these algorithms hinge on fundamental results in estimation and detection. Prerequisites : Knowledge of stochastic processes and probability.
Image of page 1

Info icon This preview has intentionally blurred sections. Sign up to view the full version.

Image of page 2
This is the end of the preview. Sign up to access the rest of the document.
  • Fall '07
  • Lexa
  • Signal Processing, Estimation theory, detection theory, statistical signal processing, Mona Sheikh, Michael Lexa

{[ snackBarMessage ]}

What students are saying

  • Left Quote Icon

    As a current student on this bumpy collegiate pathway, I stumbled upon Course Hero, where I can find study resources for nearly all my courses, get online help from tutors 24/7, and even share my old projects, papers, and lecture notes with other students.

    Student Picture

    Kiran Temple University Fox School of Business ‘17, Course Hero Intern

  • Left Quote Icon

    I cannot even describe how much Course Hero helped me this summer. It’s truly become something I can always rely on and help me. In the end, I was not only able to survive summer classes, but I was able to thrive thanks to Course Hero.

    Student Picture

    Dana University of Pennsylvania ‘17, Course Hero Intern

  • Left Quote Icon

    The ability to access any university’s resources through Course Hero proved invaluable in my case. I was behind on Tulane coursework and actually used UCLA’s materials to help me move forward and get everything together on time.

    Student Picture

    Jill Tulane University ‘16, Course Hero Intern