Description
The Digital Signal Processing specialization is a course in digital signal processing from theory to practice. Discover discrete signals over time and analyze them using the Fourier transform. Manipulate signals using filters and learn about real-time digital communication and DSP. In this series of specialization courses, comprehensive training for digital signal processing is provided, which we will focus on processing audio and transmitted data. You will start with the basics and move on to discrete time signals.
The principles of the theory presented in the four courses have a practical complement in Python which includes exercises with solutions.
What you will learn in the Digital Signal Processing Specialization Course:
- Discover discrete signals over time and analyze them using the Fourier transform
- Learn how to manipulate signals using filters
- Go back and forth between the analog and digital world.
- Learn more about digital data connection and real-time DSP.
Skills you will learn in the Digital Signal Processing Specialization course set:
- data transfer
- sound processing
- Python
- Fourier analysis
Course details:
Publisher: Coursera
Instructor: Paolo Prandoni and Martin Vetterli
French language
Level of education: Average
Number of Courses: 4
Duration: Assuming 6 hours per week, 4 months
Power Electronics Specialization Series Courses:
COURSE 1
Digital Signal Processing 1: Basic Concepts and Algorithms
COURSE 2
Digital signal processing 2: filtering
COURSE 3
Digital Signal Processing 3: Analog vs. Digital
COURSE 4
Digital Signal Processing 4: Applications
Prerequisites of the digital signal processing course:
The recommended training is college calculus and linear algebra.
Pictures
Example of digital signal processing specialization video:
Installation guide
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english subtitle
Quality: 720p
This collection includes 4 different courses.
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File password(s): ngaur.com
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