EE-714 / 4 credits

Teacher: Vesin Jean-Marc

Language: English

Remark: Next time : Fall 2022


Frequency

Every 2 years

Summary

The literature on nonlinear signal processing has exploded, and it becomes more and more difficult to identify the most useful approaches for specific contexts. This course presents promising developments for the practical application of nonlinear signal models in various fields of engineering.

Content

Keywords

Signal modeling, Signal prediction, Nonlinear autoregression, Parameter estimation.

Learning Prerequisites

Recommended courses

Statistical signal processing

Assessment methods

Multiple.

In the programs

  • Number of places: 20
  • Exam form: Multiple (session free)
  • Subject examined: Nonlinear signal modeling and prediction
  • Lecture: 28 Hour(s)
  • Exercises: 28 Hour(s)

Reference week