Course

COM-500: Statistical signal and data processing through applications

Summary

Building up on the basic concepts of sampling, filtering and Fourier transforms, we address stochastic modeling, spectral analysis, estimation and prediction, classification, and adaptive filtering, with an application oriented approach and hands-on numerical exercises.

Lectures

Instructors

Official source

https://edu.epfl.ch/coursebook/en/statistical-signal-and-data-processing-through-applications-COM-500

Moodle Page

http://go.epfl.ch/COM-500

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Summary

Lectures

Instructors

Official source

https://edu.epfl.ch/coursebook/en/statistical-signal-and-data-processing-through-applications-COM-500

Moodle Page

http://go.epfl.ch/COM-500

About this result

Lectures in this course (32)

Probability and Stochastic Processes: Fundamentals and Applications

Discusses the fundamentals of probability and stochastic processes, focusing on random variables, their properties, and applications in statistical signal processing.

2024/02/29 Part II

Signal Models and Methods: Parametric vs Nonparametric

Provides an overview of signal models and methods in statistical signal processing.

Signal Processing Fundamentals

Explores signal processing fundamentals, including discrete time signals, spectral factorization, and stochastic processes.

Linear Estimation & Prediction: Models & Methods

Explores linear estimation and prediction in AR parametric models, focusing on Yule Walker equations and Wiener filter.

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