Digital Signal Processing with MATLAB (Codes Included)
Digital Signal Processing with MATLAB (Codes Included), available at $44.99, has an average rating of 3.4, with 36 lectures, based on 426 reviews, and has 3562 subscribers.
You will learn about 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 This course is ideal for individuals who are Students of Electrical and Computer Engineering Fields or Hobbyists, and anyone who deals with digital signals. It is particularly useful for Students of Electrical and Computer Engineering Fields or Hobbyists, and anyone who deals with digital signals.
Enroll now: Digital Signal Processing with MATLAB (Codes Included)
Summary
Title: Digital Signal Processing with MATLAB (Codes Included)
Price: $44.99
Average Rating: 3.4
Number of Lectures: 36
Number of Published Lectures: 33
Number of Curriculum Items: 36
Number of Published Curriculum Objects: 33
Original Price: $89.99
Quality Status: approved
Status: Live
What You Will 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
Who Should Attend
- Students of Electrical and Computer Engineering Fields
- Hobbyists, and anyone who deals with digital signals.
Target Audiences
- Students of Electrical and Computer Engineering Fields
- Hobbyists, and anyone who deals with digital signals.
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 Curriculum
Chapter 1: How to Request your Coursovie Training Certificate
Lecture 1: How to connect with me ?
Lecture 2: What topics you want to learn next ?
Chapter 2: THANK YOU FOR CHOOSING COURSOVIE !
Lecture 1: Download Matlab Codes for this course
Chapter 3: Introduction
Lecture 1: Introduction
Lecture 2: Course Index
Chapter 4: Preliminaries
Lecture 1: Convolution
Lecture 2: Sampling
Lecture 3: Aliasing
Chapter 5: Introduction to Matlab
Lecture 1: Matlab Introduction
Chapter 6: Transforms
Lecture 1: Time & Frequency Domain
Lecture 2: Convolution Example
Lecture 3: Enter the DFT
Lecture 4: DFT Computation and Example
Lecture 5: The Z Transform
Chapter 7: FFT Convolution
Lecture 1: FFT Convolution
Chapter 8: Digital Filters
Lecture 1: Ideal Filters & Specifications
Lecture 2: IIR Design
Lecture 3: IIR Design Example
Lecture 4: FIR Design
Lecture 5: FIR Design Example
Lecture 6: Filter Realization
Chapter 9: Filter Implementation
Lecture 1: Filter Implementation with Matlab Code
Lecture 2: Filter Implementation Matlab Code ( M-File)
Chapter 10: IIR Design Example and Code
Lecture 1: IIR Design Example and Code
Lecture 2: IIR Design Matlab Code (M-File)
Chapter 11: FIR Design Example and Code
Lecture 1: FIR Design Example
Lecture 2: FIR Filter Design Matlab Code – M-File
Chapter 12: Image Filtering
Lecture 1: Image Filtering and Example Project with Code
Lecture 2: Image Filtering Matlab Code (M-File)
Chapter 13: Music Filtering
Lecture 1: Music Filtering and Example Project with Code
Lecture 2: Music Filtering Matlab Code (M-File)
Chapter 14: Conclusion
Lecture 1: Conclusion of the Course and Next steps
Chapter 15: M-FILES AND SOURCE CODES USED IN THIS COURSE
Lecture 1: Download M-file
Instructors
-
Hossein Tootoonchy
Invest in yourself, Join 35000 students in the community.
Rating Distribution
- 1 stars: 29 votes
- 2 stars: 36 votes
- 3 stars: 86 votes
- 4 stars: 140 votes
- 5 stars: 135 votes
Frequently Asked Questions
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