Description
Digital Signal Processing (DSP) From the 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 simply-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 raw theories for better learning.
Different programming languages and different hardware architectures are supported and spoken during this course so that students can do projects with their own language and architecture. This course uses the Python language. At the end of this course you will learn about the Conv Kernel algorithm in Python, develop 17 different window filters, learn how to create DFT and IDFT algorithms, and how to create 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 Kernel Convolution Algorithm in Python
- Design and development of 17 types of window filters
- Construction of DFT and IDFT algorithms
- Design and construction 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 specification from the ground up in Python
- English Language
- Duration: 12 hours 46 minutes
- Number of lessons: 152
- Instructor: Israel Gabbati
- File format: mp4
course title:
to install
5 lectures
17:33
Python Essentials
10 lectures
01:22:37
Signal Statistics and Noise
12 lectures
01:04:51
Quantization and sampling theorems
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 a window filter
17 lectures
01:04:54
Custom Filters
5 lectures
39:16
Designing a match filter
1 lecture
16:22
FFT Convolution
2 Lectures
08:13
Representation of Linear Time Invariant (LTI) Systems in Python
5 lectures
24:55
interpolation
3 Lectures
28:40
Waveform generation
3 Lectures
16:19
Prerequisites for Digital Signal Processing (DSP) from the Ground Up in Python
- All you need for this course is a good working computer
Pictures
Sample Film
installation Guide
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English subtitle