Lecture

Statistical Signal Processing for Wireless Communications

Description

This lecture covers statistical signal processing tools for wireless communications, focusing on topics such as spectral estimation, signal detection, classification, and adaptive filtering. Students will learn to model wireless communication signals, perform spectral analysis, and work on mini-projects to implement and compare tools. The course emphasizes practical applications in wireless systems and provides hands-on experience with Python or Matlab. The lecture also explores advanced tools beyond the basics, encouraging students to innovate and improve existing solutions. Evaluation is based on problem-solving quality, implementation, innovation, and presentation skills.

About this result
This page is automatically generated and may contain information that is not correct, complete, up-to-date, or relevant to your search query. The same applies to every other page on this website. Please make sure to verify the information with EPFL's official sources.