The 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 aim of this course is to introduce practical techniques and avoid crude theories for better learning.
During this course, different programming languages and different hardware architectures are supported and spoken so that students can complete projects with their own language and architecture. This course uses the Python language. At the end of this course, you will discover the kernel conversion algorithm in Python, develop 17 different window filters, learn how to create DFT and IDFT algorithms and create FIR, IIR, Type II Chebyshev filters, you learn the type I Chebyshev, Butterworth and Match in Python. The course instructor will also explain how to simulate LTI systems and perform ECG signal analysis.
Courses taught in this course:
- Development of 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
From Ground Up in Python Digital Signal Processing (DSP) Course Specifications
- English language
- Duration: 12 hours 46 minutes
- Number of lessons: 152
- Instructor: Israel Gbati
- File format: mp4
Course titles:
installation
5 conferences
17:33
Python Essentials
10 conferences
01:22:37
Signal and noise statistics
12 conferences
01:04:51
Quantization and sampling theorem
8 conferences
23:04
Linear systems and superposition
7 conferences
10:40
Convolution
16 conferences
01:33:41
Fourier transform
13 conferences
01:18:28
Complex numbers
5 conferences
08:46
Complex Fourier transform
4 conferences
07:14
Fast Fourier Transform (FFT)
4 conferences
31:43
Digital filter design
10 conferences
26:57
Finite Impulse Response (FIR) Filter Design
7 conferences
46:48
Infinite Impulse Response (IIR) Filter Design
15 conferences
01:15:07
Windowed filter design
17 conferences
01:04:54
Custom filters
5 conferences
39:16
Designing match filters
1 conference
16:22
FFT convolution
2 conferences
08:13
Representation of Linear Time Invariant (LTI) Systems in Python
5 conferences
24:55
Interpolation
3 conferences
28:40
Waveform Generation
3 conferences
16:19
Prerequisites for Digital Signal Processing (DSP) from Scratch in Python
- You will just need a good working computer for this course
Pictures
sample movie
Installation guide
View with your favorite player after ripping.
english subtitle