Udemy – A Simple Introduction to Digital Signal Processing 2023-7

We’ll start by exploring basic concepts like sinusoidal signals, linear and time-invariant systems, and digital filters. Then we’ll move on to more advanced concepts like frequency response of systems, correlation, and the discrete Fourier transform. To help you put the concepts into practice, we’ll also provide a crash course in Python programming. Throughout the course, we’ll use Python to implement practical projects like removing noise from audio and video files, recognizing compressed digits on touchscreen phones, and analyzing temperature data.

What you will learn in this course:

• How to display signals as sinusoids
• The concept of linear and time-invariant systems
• How to represent digital filters as differential equations
• What is the frequency response of a system?
• What is correlation and why is it important in signal processing?
• How to use the discrete Fourier transform to identify frequencies in a signal
• A crash course in Python programming
• How to use Python to implement practical applications of digital signal processing

This course is suitable for people who:

• Are interested in digital signal processing and its applications but do not have an electronics background.
• They have taken undergraduate courses in signal processing but are looking for practical applications of these concepts.

Installation Guide

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Quality: 720p