Java Digital Signal Processing (DSP) From Ground Up™ faq

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4.1
learnersLearners: 435
instructor Instructor: PyTribe . instructor-icon
duration Duration: duration-icon

This course is designed to give you a solid foundation in the most useful aspects of Digital Signal Processing (DSP) in an engaging and easy to follow way. With a programming based approach, you will learn practical techniques while avoiding abstract mathematical theories. Using the Java programming language, you will develop algorithms such as the Convolution Kernel, Discrete Fourier Transform (DFT), Inverse Discrete Fourier Transform (IDFT), Finite Impulse Response (FIR) filters, Infinite Impulse Response (IIR) filters, Windowed-Sinc filters, Modified Sallen-Key filters, Bessel, Chebyshev and Butterworth filters, and the Fast Fourier Transform (FFT). By the end of this course, you will be able to build a complete DSP library in Java and even give a lecture on DSP. Take a look at the full course curriculum to learn more.

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Course Feature Course Overview Course Provider Discussion and Reviews
Go to class

Course Feature

costCost:

Paid

providerProvider:

Udemy

certificateCertificate:

Paid Certification

languageLanguage:

English

start dateStart Date:

2021-02-20

Course Overview

❗The content presented here is sourced directly from Udemy platform. For comprehensive course details, including enrollment information, simply click on the 'Go to class' link on our website.

Updated in [July 24th, 2023]

By taking this course, learners will gain a comprehensive understanding of Digital Signal Processing (DSP) and its practical applications. They will be able to develop algorithms in Java, design and develop filters, and build a complete DSP library. They will also gain experience in programming techniques such as loop unrolling and Multiply-Accumulate (MAC). With the knowledge and skills acquired from this course, learners will be able to apply DSP to a variety of real-world applications.

Course Syllabus

Introduction

Setting Up

Getting started with gnuplot

Signal Statistics and Noise

Quantization and The Sampling Theorem

Linear Systems and Superposition

Convolution

Fourier Transsform

Complex Numbers

Complex Fourier Transform

Fast Fourier Transform (FFT)

Digital Filter Design

Designing Finite Impulse Response FIR) Filters

Designing Infinite Impulse Response (IIR) Filters

Designing Windowed-Sinc Filters

FFT Convolution

Setting Up Matlab

Course Provider

Provider Udemy's Stats at AZClass

Discussion and Reviews

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faq FAQ for Signal Processing Courses

Q1: Does the course offer certificates upon completion?

Yes, this course offers a paid certificate. AZ Class have already checked the course certification options for you. Access the class for more details.

Q2: How do I contact your customer support team for more information?

If you have questions about the course content or need help, you can contact us through "Contact Us" at the bottom of the page.

Q3: How many people have enrolled in this course?

So far, a total of 435 people have participated in this course. The duration of this course is hour(s). Please arrange it according to your own time.

Q4: How Do I Enroll in This Course?

Click the"Go to class" button, then you will arrive at the course detail page.
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(Please note that the following steps should be performed on Udemy's official site.)
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If you're looking for additional Signal Processing courses and certifications, our extensive collection at azclass.net will help you.

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