Lecture

Digital Filtering Fundamentals

In course
DEMO: ut nostrud labore id
Fugiat do nostrud anim veniam cupidatat ea eu cupidatat do duis ex esse occaecat. Enim eiusmod cillum aliqua aute nisi nostrud ex occaecat mollit ullamco non ex ullamco. Tempor qui ullamco nisi veniam. Sint minim qui laborum aliquip in ex eiusmod occaecat labore aliquip cupidatat sunt voluptate. Anim tempor ad id incididunt sit. Incididunt officia cillum officia commodo consectetur sit mollit et dolor pariatur ad ut nulla.
Login to see this section
Description

This lecture covers fundamental notions in digital filtering, including 2D filtering approaches, linear filters, transfer functions, frequency responses, stability issues, FIR and IIR filters, and filtering by convolution or differential equations. It also discusses zero phase FIR filters, frequency domain filtering, image processing, and Gaussian filters. The instructor explains the concepts with examples of filtering, up-sampling, polynomial filters, Laplacian approximation, and sharpening techniques.

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.
Related lectures (71)
Signals, Instruments, and Systems: System Properties and Transforms
Introduces system properties, Laplace Transform, and analog filters for signal analysis.
Signal Processing and Embedded Systems
Covers signal processing with digital filters and embedded systems, focusing on practical applications.
Sampling Theorem and Control Systems
Explores the Sampling Theorem, digital control, signal reconstruction, and anti-aliasing filters.
Active Filters: Second-order and High-order Realizations
Covers the design and implementation of active filters, focusing on second-order and high-order realizations.
Parametric Signal Models: Matlab Practice
Covers parametric signal models and practical Matlab applications for Markov chains and AutoRegressive processes.
Show more

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.