Level 1 optimal and adaptive digital filtering

The aim of this course is to present the basic tools for developing parametric approaches in
signal processing. This includes a review of signal modeling, estimation techniques
for the associated parameters, and a presentation of adaptive filtering of the LMS or RLS type. Finally, Kalman filtering is discussed in the case of a linear state-space representation. These approaches can be applied to a variety of applications (speech, mobile communications, radar, etc.).

signal processing, digital filtering, random processes

1 course and TD support