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7/10/2020
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Digital Signal Processing (DSP) From Ground Up with MATLAB is a video tutorial on digital signal processing with MATLAB from the Udemy site. With a programming-based approach, this course is designed to give you a solid foundation in the most useful aspects of digital signal processing (DSP) in an engaging and easy way. The aim of this course is to provide practical techniques while avoiding the obstacles of abstract mathematical theories. To achieve this, DSP techniques are explained in simple language.
The course is offered in a variety of programming languages and hardware architectures so that students can practice techniques using a programming language or hardware architecture of their choice. This version of the course uses the MATLAB programming language.
Calculate the difference between signals and MATLAB
Understand how signal is synthesized and decomposed
Perform Reverse Fourier Transform (IFFT) with MATLAB
Design of limited impact response (FIR) filters with MATLAB
Manufacture of Bessel, Chebyshev and Butterworth filters
Learn all about linear systems and their specifications
English language
Duration: 5 hours and 2 minutes
Number of lessons: 91
Level of education: Intermediate
Instructor: Israel Gbati
File format: mp4
91 lectures 05:02:35
Set up 3 lectures 16:39
Getting Started 10 lectures 46:09
Signal Statistics and Noise 4 lectures 12:02
Quantization and The Sampling Theorem 8 lectures 23:04
Linear Systems and Superposition 7 lectures 10:40
Convolution 12 lectures 48:48
Fourier Transform 11 lectures 43:58
Complex Numbers 5 lectures 08:46
Complex Fourier Transform 4 lectures 07:14
Fast Fourier Transform (FFT) 3 lectures 19:52
Digital Filter Design 10 lectures 28:22
Designing Finite Impulse Response FIR) Filters 4 lectures 15:17
Designing Infinite Impulse Response (IIR) Filters 4 lectures 07:25
Designing Windowed-Sinc Filters 5 lectures 10:10
FFT Convolution 1 lecture 04:09
Having basic programming skills is a plus
After Extract, watch with your favorite Player.
English subtitle
Quality: 720p
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