Course Information
Registration period
Year-round Recruitment
Course Level
Study Mode
Duration
2 Hour(s) 43 Minute(s)
Language
English
Taught by
Hossein Tootoonchy
Rating
Course Overview
Practical Guide to the Digital Signal Processing with multiple solved projects and downlodable source codes
This course offers Coursovie Training Certificate in addition to Udemy Certificate. Coursovie Certificate is FREE and requires registration on Coursovie Website.
In this course, students will explore the vast world that is digital signal processing. Led by instructor Jake Bailey, MSME (Adjunct Faculty, CSU Fullerton), students will undertake lessons in fundamentals such as discrete mathematics, signal and system representations, discrete Fourier and z-transforms, transfer functions and poles and zeros, and many others. All of these concepts are reinforced by example and practice using the MATLAB computational software package.
After acclimating with the language and methods of DSP, students will then be ushered through a variety of interesting and practical real-world applications, including filter design, audio signal processing, and image processing. All of these examples are shown with the MATLAB software package, for which the M-Files are available to students who purchase the course.
Course Content
- 15 section(s)
- 33 lecture(s)
- Section 1 How to Request your Coursovie Training Certificate
- Section 2 THANK YOU FOR CHOOSING COURSOVIE !
- Section 3 Introduction
- Section 4 Preliminaries
- Section 5 Introduction to Matlab
- Section 6 Transforms
- Section 7 FFT Convolution
- Section 8 Digital Filters
- Section 9 Filter Implementation
- Section 10 IIR Design Example and Code
- Section 11 FIR Design Example and Code
- Section 12 Image Filtering
- Section 13 Music Filtering
- Section 14 Conclusion
- Section 15 M-FILES AND SOURCE CODES USED IN THIS COURSE
What You’ll Learn
- Identify and analyze digital signals and systems, Analyze the effects of the incoming signals on the digital systems, Solid understanding of the Matlab programming language and how it is used in DSP, Solid understanding of the Matlab DSP toolbox
Skills covered in this course
Reviews
-
AAbror Pulatkhanov
Too much shortened. Can't understand concept without researching other materials. Certainly, I bought this course not rewise but learn. But the author teaches as if he revises
-
CCarlos Ríos Ramírez
.
-
PPrachi Akalwadi
U have learnt a lot about filters
-
TThomas Schumacher
This a a long talk about DSP theory of no practical use - If you slog through the whole thing you will learn how blur an image.
