explanation
The Digital Signal Processing Specialization is a course that covers everything from theory to practice in digital signal processing. Discover time-discrete signals and analyze them using Fourier transform. Manipulate signals using filters and learn about digital communications and DSP in real time. This specialized course series will provide complete training in digital signal processing, with a focus on processing audio and transmitted data. We start with basic concepts and move on to discrete-time signals.
The principles of the theory presented in the four courses are accompanied by practical supplementary material in Python, including solutions exercises.
Here’s what you’ll learn in the Digital Signal Processing specialization:
- Discover time-discrete signals and analyze them using Fourier transform.
- Learn how to manipulate signals using filters
- Travel back and forth between the analog and digital worlds.
- Learn about digital data connectivity and real-time DSP.
The skills you will learn in the Digital Signal Processing specialization course set include:
- data transfer
- acoustic treatment
- IPython
- Fourier analysis
Course details:
Publisher: Coursera
teacher: Paolo Frandoni and Martin Vetterli
Language:English
Education level: average
Number of courses: 4
Period: Assuming 6 hours a week, 4 months
Courses in the Power Electronics Specialization Series:
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
4 courses
Digital Signal Processing 4: Applications
Digital Signal Processing Course Prerequisites:
Recommended background knowledge is college-level calculus and linear algebra.
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Digital Signal Processing Specialization sample video:
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This collection includes four courses:
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