Description
Digital Signal Processing (DSP) From Ground Up in Python is the name of a training course from the Udemy website that covers valuable topics in the field of digital signal processing (DSP) with the language Python teaches This course will help you learn the most important aspects of digital signal processing in an easy and fun way with a simple programming method. The purpose of this course is to provide practical techniques and avoid raw theories for better learning.
In this course, different programming languages and different hardware architectures are supported and discussed so that students can complete projects with their desired language and architecture. This course uses Python language. At the end of this course, you will be familiar with the Convolution Kernel algorithm in Python, you will develop 17 different types of window filters, you will learn how to make DFT and IDFT algorithms, and how to make 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 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 algorithm
- 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) From Ground Up in Python course specifications
- English language
- Duration: 12 hours and 46 minutes
- Number of courses: 152
- Instructor: Israel Gbati
- File format: mp4
Course topics:
Setup
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 Transform
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
Prerequisite for Digital Signal Processing (DSP) From Ground Up in Python course
- You will need just a good working computer for this course
Pictures
Sample video
Installation guide
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English subtitle
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