MOOC

Digital Signal Processing [retired]

Related courses (267)

Graph Chatbot

Chat with Graph Search

Ask any question about EPFL courses, lectures, exercises, research, news, etc. or try the example questions below.

DISCLAIMER: The Graph Chatbot is not programmed to provide explicit or categorical answers to your questions. Rather, it transforms your questions into API requests that are distributed across the various IT services officially administered by EPFL. Its purpose is solely to collect and recommend relevant references to content that you can explore to help you answer your questions.

COM-430: Modern digital communications: a hands-on approach

This course complements the theoretical knowledge learned in PDC with more advanced topics such as OFDM, MIMO, fading channels, and GPS positioning. This knowledge is put into practice with hands-on e

ENV-444: Exploratory data analysis in environmental health

This course teaches how to apply exploratory spatial data analysis to health information. Teaching focuses on the role of GIS and spatial statistics in spatial epidemiology. It proposes a context to i

CS-341: Computer graphics

The students study and apply fundamental concepts and algorithms of computer graphics for rendering, geometry synthesis, and animation. They design and implement their own interactive graphics program

MSE-421: Statistical mechanics

This course presents an introduction to statistical mechanics geared towards materials scientists. The concepts of macroscopic thermodynamics will be related to a microscopic picture and a statistical

BIO-221: Cell and developmental biology for engineers

Students will learn essentials of cell and developmental biology with an engineering mind set, with an emphasis on animal systems and quantitative approaches.

AR-329: Constructing the view: built images

What is meant by the term "image" as pictorial representation? How do we read, process and interpret images - and what premises can be derived from this for the conception and production of meaningful

CS-328: Numerical methods for visual computing and ML

Visual computing and machine learning are characterized by their reliance on numerical algorithms to process large amounts of information such as images, shapes, and 3D volumes. This course will famil

AR-597(a): Superstudio A

Sous le titre "DOMESTICATED FOODSCAPES", Superstudio explore des perspectives oubliées et des approches proactives pour repositionner l'architecture dans le contexte de l'alimentation.

MICRO-523: Optical detectors

Students analyse the fundamental characteristics of optical detectors, their architectures, selected applications and case studies. Photoemissive devices, photodiodes, infrared sensors and single-phot

MICRO-534: Advanced MEMS & microsystems

In depth analysis of the operation principles and technology of advanced micro- and nanosystems. Familiarisation to their implementation into products and their applications.