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

Description

Digital Signal Processing (DSP) From Ground Up in Python is the name of a training course on the Udemy website that teaches valuable topics in digital signal processing (DSP) in Python. This course helps you to learn the most important aspects of digital signal processing in an easy and fun way with a simple programming method. The aim of this course is to provide practical techniques and avoid raw theories to better learn the material.

This course supports and speaks different programming languages and different hardware architectures so that students can do projects in their own language and architecture. This course uses the Python language. At the end of this course you will learn about the Convolution Kernel algorithm in Python, develop 17 different types of window filters, learn how to build DFT and IDFT algorithms, and how to build FIR, IIR, Type II Chebyshev filters, You will 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.

Items that will be taught in this course

Development of Convolution Kernel 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

Digital Signal Processing (DSP) course specifications From Ground Up in Python

English language

Duration: 12 hours and 46 minutes

Number of courses: 152

Instructor: Israel Gbati

File format: mp4

Topics

Set Up 5 lectures 17:33

Python Essentials 10 lectures 01:22:37

Signal Statistics and Noise 12 lectures 01:04:51

Quantization and The Sampling Theorem 8 lectures 23:04

Linear Systems and Superposition 7 lectures 10:40

Convolution 16 lectures 01:33:41

Fourier Transsform 13 lectures 01:18:28

Complex Numbers 5 lectures 08:46

Complex Fourier Transform 4 lectures 07:14

Fast Fourier Transform (FFT) 4 lectures 31:43

Digital Filter Design 10 lectures 26:57

Designing Finite Impulse Response (FIR) Filters 7 lectures 46:48

Designing Infinite Impulse Response (IIR) Filters 15 lectures 01:15:07

Designing Windowed Filters 17 lectures 01:04:54

Custom Filters 5 lectures 39:16

Designing Match Filters 1 lecture 16:22

FFT Convolution 2 lectures 08:13

Representing Linear Time Invariant (LTI) )Systems in Python 5 lectures 24:55

Interpolation 3 lectures 28:40

Waveform Generation 3 lectures 16:19

Digital Signal Processing (DSP) Course Prerequisites From Ground Up in Python

You will need just a good working computer for this course

Installation

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English subtitle