FIR Filter Design Lecture
Digital signals are ubiquitous and have many applications in several disciplines:
-Digital Media, Social Media (music, voice signals),
-Biomedical Signal Analysis and Diagnosis,
-Bioinformatics
-Autonomous cars, drones, marine vessels, robots
-Big Data Analytics,
-Internet and Communications (music broadcasting, streaming).
-Scientific signal acquisition of any sort, e.g., Environment Sensing, Geophysical Prospecting.

Short Summary
This lecture overviews FIR Filter Design that has many applications in digital signal processing and deep neural networks. It covers the following topics in detail: Window Method, Optimization Methods, Frequency Sampling Method, Equiripple FIR Filter Design.
Pace
Self-paced
Language
English
Country
Greece
Credits
No
Subject Categories
Machine learning
Business Categories
Public Services
Last updated
Wed, 01/03/2024 - 09:53