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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)

Statistical Signal & Data Processing Log in to Mediaspace to watch this video

Explores Statistical Signal & Data Processing fundamentals, tools, and applications in various fields.

Causal Systems & Transforms: Delay Operator Interpretation Log in to Mediaspace to watch this video

Covers z Variable as a Delay Operator, realizable systems, probability theory, stochastic processes, and Hilbert Spaces.

Parametric Signal Models: Markov Chains Log in to Mediaspace to watch this video

Explores parametric signal models, including AR processes and Markov chains, covering synthesis, analysis, and correlation structures.

Parametric Signal Models: Matlab Practice Log in to Mediaspace to watch this video

Covers parametric signal models and practical Matlab applications for Markov chains and AutoRegressive processes.

Yule Walker Equations: Efficient Implementation and Correlation Analysis Log in to Mediaspace to watch this video

Explores Yule Walker equations for efficient implementation and correlation analysis in signal processing.

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