- 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 ERICK AXEL MARTINEZ RIOS
February 13, 2021
28 hours (approximately)
ERICK AXEL MARTINEZ RIOS'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
