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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