- Programming Principles
- Electrical Engineering
- Electronics
- Algorithms
- Time Series Analysis and Forecasting
- Digital Signal Processing
- Linear Algebra
- Communication Systems
- Telecommunications
- Mathematical Modeling
Digital Signal Processing 1: Basic Concepts and Algorithms
Completed by Ewan Allan Danks
July 23, 2020
28 hours (approximately)
Ewan Allan Danks's account is verified. Coursera certifies their successful completion of Digital Signal Processing 1: Basic Concepts and Algorithms
What you will learn
The nature of discrete-time signals
Discrete-time signals are vectors in a vector space
Discrete-time signals can be analyzed in the frequency domain via the Fourier transform
Skills you will gain
