Description
Learn Digital Signal Processing – From Basics To Advance is a Digital Signal Processing (DSP) training course published by Udemy Academy. Signal processing is a very broad field 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, etc. And it works. This training course includes almost all elements of DSP systems and starts with converting analog signals to digital. At the beginning of this training course, the discrete time signals, such as periodic, even and odd, energy, etc., were analyzed and the systems based on these signals were developed in the form of Differential Equations and mathematical analysis will explain.
What you will learn in the Learn Digital Signal Processing – From Basics To Advance course:
- Discrete time signals and systems based on it
- impulse response
- frequency response (frequency response)
- Theory of linear time-invariant system (LTI system)
- discrete-time Fourier transform
- Discrete Fourier Transform (DFT)
- converted (Z transform)
- region of convergence
- block diagram (block diagram)
- Radix-2 techniques
- filter with limited impulse response (FIR filter)
- Linear phase response
- Design and implementation of digital filter
- Fast Fourier transform algorithms
- linear convolution
- circular convolution
- multi rate signal processing
- single rate signal processing
Course details
Publisher: Yudmi
teacher: Srinivas Andoor
English language
Training level: introductory to advanced
Number of courses: 130
Training duration: 23 hours and 48 minutes
Course topics on 7/2021
Course prerequisites
Signals and systems, basic mathematics
Course images
Video introducing the course Learn Digital Signal Processing – From Basics To Advance
Installation guide
After Extract, view with your favorite Player.
English subtitle
Quality: 720p
download link
Password file(s): www.downloadly.ir
Size
31.8 GB
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