Udemy – Digital Signal Processing (DSP) From Ground Up in Python 2018-10

Published on: 2020-03-19 11:54:08

Categories: 28

Description

Digital Signal Processing (DSP) From Ground Up in Python is the name of a course on the Udemy website that teaches valuable topics in the field of digital signal processing (DSP) in Python . This simple-coded course helps you learn the most important aspects of digital signal processing in an easy and fun way. The purpose of this course is to introduce practical techniques and avoid raw theories for better learning.

During this course, different programming languages and different hardware architectures are supported and spoken so that students can do projects with their own language and architecture. This course uses Python language. At the end of this course you will learn about Convert Kernel algorithm in Python, develop 17 different window filters, learn how to build DFT and IDFT algorithms, and how to build FIR, IIR, Type II Chebyshev filters, You\\\’ll learn Type I Chebyshev, Butterworth and Match in Python. The course instructor will also explain how to simulate LTI systems and perform analysis on ECG signals.

Courses taught in this course:

Development of the Kernel Convolution Algorithm in Python
Design and development of 17 types of window filters
Construction of DFT and IDFT algorithms
Design and manufacture of FIR, IIR, Type II Chebyshev, Type I Chebyshev, Butterworth and Match filters
Simulation of LTI systems
Perform analysis on ECG signals