Description
Learn Digital Signal Processing – From Basics to Advancement is a digital signal processing (DSP) training course published by Udemy Academy. Signal processing is a very broad field that deals with topics such as discrete-time signal analysis, discrete-time systems, discrete time Fourier transform (DTFT), discrete time Fourier transform (DFT), Fast Fourier Transform (FFT), digital filters and.. Deals with. This course covers almost all components of DSP systems and begins with converting analog signals to digital. At the beginning of this training, we will study in depth discrete time signals such as periodic, even and odd signals, energy, etc., and explain systems based on these signals in the form of differential equations and mathematical analysis .
What you will learn in Learn Digital Signal Processing – From Basics to Advancement
- Discrete time signals and systems based on them
- Impulsive response
- Response frequency
- Linear time-invariant system theory (LTI system)
- Discrete-time Fourier transform
- Discrete Fourier Transform (DFT)
- Converted (Z transformation)
- Convergence region
- diagram
- Basic Techniques-2
- Limited Impact Response Filter (FIR Filter)
- Linear phase response
- Design and implementation of digital filters
- Fast Fourier transform algorithms
- linear convolution
- circular convolution
- Multi-rate signal processing
- Single rate signal processing
Course Specifications
Editor: Udemy
Instructors: Srinivas Andor
French language
Level: Introductory to Advanced
Number of lessons: 130
Duration: 23 hours and 48 minutes
Course themes for 2021/7
Learn Digital Signal Processing – From Basics to Advanced Prerequisites
Signals and systems, basic mathematics
Pictures
Learn Digital Signal Processing – From Basics to Advanced Introductory Video
installation guide
After the clip, watch with your favorite reader.
english subtitles
Quality: 720p
Download links
File password(s): free download software
size
31.8 GB