- Applied Mathematics
- Algorithms
- Electrical and Computer Engineering
- Advanced Mathematics
- Electronics
- Digital Communications
- Computational Logic
- Time Series Analysis and Forecasting
- Engineering Analysis
- Mathematical Modeling
- Programming Principles
- Linear Algebra
Digital Signal Processing 1: Basic Concepts and Algorithms
Completed by Pavel Smokotnin
July 4, 2020
28 hours (approximately)
Pavel Smokotnin'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
