Java Digital Signal Processing (DSP) From Ground Up™

Course Feature

Cost

Paid
Provider

Udemy
Certificate

Paid Certification
Language

English
Start Date

2021-02-20
Learners

No Information
Duration

No Information
Instructor

PyTribe .

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4.1

435 Ratings

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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Java Digital Signal Processing (DSP) From Ground Up™

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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

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