Description
Learn Digital Signal Processing – From Basics To Advance is a Digital Signal Processing (DSP) training course published by Udemi Academy. Signal processing is a very broad field that deals with topics such as discrete-time signal analysis, discrete-time systems, time-discrete Fourier transform (DTFT), discrete Fourier transform (DFT), fast Fourier transform (FFT), digital filters, and so on.
And it works. This course covers almost all the components of DSP systems and starts with the conversion of analog to digital signals. At the beginning of this training course, he will thoroughly study discrete-time signals such as periodic signals, even and odd, energy, and و and will explain the systems based on these signals in the form of differential equations and mathematical analyzes.
What you will learn in the Learn Digital Signal Processing course – From Basics To Advance:
- Discrete-time signals and systems based on it
- Impulse 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 _
- Radix-2 techniques
- 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
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Course specifications
Publisher: Udemi
Instructor: Srinivas Andoor
Language: English
Education Level: Basic to Advanced
Number of Courses: 130
Training Duration: 23 hours and 48 minutes
Course topics on 2021/7
Course Prerequisites
Signals and systems, basic Mathematics
Course pictures
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English subtitle
Quality: 720p
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Download section 1 – 4 GB
Download Part 2 – 4 GB
Download Section 3 – 4 GB
Download section 4 – 4 GB
Download section 5 – 4 GB
Download section 6 – 4 GB
Download Section 7 – 4 GB
Download section 8 – 3.8 GB
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