Digital Signal Processing (DSP) From Ground Up™ in C

Course Feature

Cost

Paid
Provider

Udemy
Certificate

Paid Certification
Language

English
Start Date

2023-02-25
Learners

No Information
Duration

No Information
Instructor

Israel GbatiBHM Engineering Academy

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4.3

4,541 Ratings

Gain a strong foundation in Digital Signal Processing (DSP) with the "Digital Signal Processing (DSP) From Ground Up™ in C" course. This practical and engaging course takes a programming-based approach, making DSP accessible without overwhelming mathematical complexities. Learn essential techniques in plain language, develop algorithms, design various filters, implement the Fast Fourier Transform (FFT), and more using the C programming language. With a wide range of applications, this course empowers you to master DSP concepts and apply them to real-world projects, offering a rewarding learning experience.

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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]

Welcome to the "Digital Signal Processing (DSP) From Ground Up™ in C" course, where you'll delve into the core principles of DSP with a focus on practical applications. The course adopts a programming-based approach, ensuring students can grasp DSP concepts without getting lost in abstract mathematics. By emphasizing practical techniques presented in plain language, the course aims to remove obstacles that often hinder learning DSP. This version of the course offers the flexibility to choose different programming languages and hardware architectures, allowing students to apply DSP techniques in their preferred environment. Using the C programming language, students will develop essential algorithms such as the Convolution Kernel, Discrete Fourier Transform (DFT), and Inverse Discrete Fourier Transform (IDFT). Additionally, they will design Finite Impulse Response (FIR) and Infinite Impulse Response (IIR) filters, Windowed-Sinc filters, and Modified Sallen-Key filters, among others. By the end of the course, students will have a comprehensive understanding of DSP and be equipped to apply this knowledge to various projects. Enroll now to embark on a rewarding learning journey in the world of Digital Signal Processing.

Course Syllabus

Set 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

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