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

Course Feature

Cost

Paid
Provider

Udemy
Certificate

Paid Certification
Language

English
Start Date

2022-08-13
Learners

No Information
Duration

No Information
Instructor

Israel GbatiBHM Engineering Academy

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4.4

4,767 Ratings

Master the essential concepts of Digital Signal Processing (DSP) with the "Digital Signal Processing (DSP) From Ground Up™ in Python" course. This engaging and practical course takes a programming-based approach to teach DSP techniques without overwhelming mathematical complexities. Learn to develop algorithms, design filters, perform spectral analysis, simulate LTI systems, and more using Python. The course offers a wide range of applications, ensuring you gain a solid foundation in DSP and the flexibility to apply your knowledge in various contexts. Embark on a learning journey that simplifies DSP, making it accessible and enjoyable for all.

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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 Python" course, a comprehensive and practical exploration of DSP concepts. This course adopts a programming-based approach, focusing on real-world techniques to help students grasp DSP fundamentals effortlessly. Led by engaging instructors, the course avoids overwhelming mathematical complexities and instead emphasizes hands-on experience and practical applications. With Python as the programming language of choice, students will develop essential DSP algorithms, design various filters, perform spectral analysis, simulate LTI systems, and much more. The course's comprehensive curriculum offers a wide range of topics, making it suitable for beginners and experienced learners seeking to enhance their DSP skills. Join now and unlock the power of DSP in an accessible and enjoyable learning environment.

Course Syllabus

Set Up

Python Essentials

Signal Statistics and Noise

Quantization and The Sampling Theorem

Linear Systems and Superposition

Convolution

Fourier Transform

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 Filters

Custom Filters

Designing Match Filters

FFT Convolution

Representing Linear Time Invariant (LTI) )Systems in Python

Interpolation

Waveform Generation

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