MSC-MTS102B: Signal Processing

Presentation

Signal processing is a branch of electrical engineering that models and analyzes data representations of physical events.

This course consists of two main parts:
1. Deterministic signal processing: this part discusses the analysis and representation of deterministic signals and systems.
2. Statistical signal processing: this part gives an overview of the description, modeling, and processing of random signals.

Topics covered in the course include Fourier transform, linear filtering, analog to digital conversion, random processes, etc.

Duration: 21h

Organization

Scheduled activities

• C1 (1h30)   Introduction to signal processing
• PC1 (1h30)   Application of basic signal processing tools
• C2 (1h30)   Fourier transform
• PC2 (1h30)   Fourier transform
• C3 (1h30)   Discrete-time signal processing
• PC3 (1h30)   Discrete-time signal processing
• C4 (1h30)   Introduction to stochastic processes
• PC4 (1h30)   Expectation and Covariance
• C5 (1h30)   Stationarity and Ergodicity
• PC5 (1h30)   Stationarity and Ergodicity
• C6 (1h30)   Gaussian random processes
• PC6 (1h30)   Gaussian random processes
• TP1 (3h)   Matlab Labwork

Team