Israel Gbati
With a programming based approach, 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. The goal of this course is to present practical techniques while avoiding obstacles of abstract mathematical theories. To achieve this goal, the DSP techniques are explained in plain language, not simply proven to be true through mathematical derivations.
Still keeping it simple, this course comes in different programming languages and hardware architectures so that students can put the techniques to practice using a programming language or hardware architecture of their choice. This version of the course uses the Python programming language.
By the end of this course you should be able develop the Convolution Kernel algorithm in python, develop 17 different types of window filters in python, develop the Discrete Fourier Transform (DFT) algorithm in python, develop the Inverse Discrete Fourier Transform (IDFT) algorithm in pyhton, design and develop Finite Impulse Response (FIR) filters in python, design and develop Infinite Impulse Response (IIR) filters in python, develop Type I Chebyshev filters in python, develop Type II Chebyshev filters in python, perform spectral analysis on ECG signals in python, develop Butterworth filters in python, develop Match filters in python,simulate Linear Time Invariant (LTI) Systems in python, even give a lecture on DSP and so much more. Please take a look at the full course curriculum.
Instructor Details
Courses : 10
Specification: Digital Signal Processing (DSP) From Ground Up™ in Python
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11 reviews for Digital Signal Processing (DSP) From Ground Up™ in Python
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| Price | $17.99 |
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| Provider | |
| Duration | 12.5 hours |
| Year | 2021 |
| Level | All |
| Language | Afrikaans ... |
| Certificate | Yes |
| Quizzes | No |
$17.99
Dora Maria Ballesteros –
It helps to solve python’s doubts.
David Duncan Yandell –
Fantastic course, tons of info and good examples! Thanks for getting into the math theory too!
Eshika Chittora –
No, it was not at all good. I knew all this. Not at all helpful for my learning. I didn’t like this.
Ritwik Ghosal –
It is nice
Joaquin –
La mejor experiencia o introduccion a DSP ,algunos videos creo q esta en orden raro,pero en general muy entendible todo.
Amitabh –
video is very bad cant see any thing
Zane Phillips –
Good class for a quick introductions, need better organization though
Omar Abu Hijleh –
Things are not well explained. Very up and down some filters are explained in detail but then he writes code that’s not well explained.
Ashok Mulchandani –
It’s good course helping hand on practise using python on a very abstract topic like digital signal processing. 3 star because quality of video and sound could potentially be improved. I thank the trainer for hard work gone into preparing such a detailed course
Ryan Lush –
It’s a video… you don’t need to repeat yourself on the simplest of things. We saw you typed 3 n’s, you don’t need to tell us twice.
Nivaldo Mattos –
timo! Very good couse about DSP and Python!