Digital Signal Processing (DSP) From Ground Up™ with MATLAB udemy course free download
What you'll learn:
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Be able to develop the Convolution Kernel algorithm in C
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Be able able to develop the Discrete Fourier Transform (DFT) algorithm in C
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Be able to develop the Inverse Discrete Fourier Transform (IDFT) algorithm in C
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Be able to develop the Fast Fourier Transform (FFT) algorithm in C
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Be able to perform spectral analysis on ECG signals in C
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Be able to design and develop Windowed-Sinc filters in C
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Be able to design and develop Finite Impulse Response (FIR) filters in C
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Be able to design and develop Infinite Impulse Response (IIR) filters in C
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Be able to develop the FFT Convolution algorithm in C
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Be able to develop the First Difference algorithm in C
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Be able to develop the Running Sum algorithm in C
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Be able to develop the Moving Average filter algorithm in C
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Be able to develop the Recursive Moving Average filter algorithm in C
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Be able to develop signal statistical algorithms in C
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Be able to build passive Low-pass and High-pass filters
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Be able to build Modified Sallen-Key filters
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Be able to build Bessel, Chebyshev and Butterworth filters
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Understand all about Linear Systems and their characteristics
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Understand how to synthesize and decompose signals
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Understand the relationship between the delta function and the Impulse response
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Be able to plot signals with gnuplot
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Be able to give a lecture on Digital Signal Processing (DSP)
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Be able to suppress noise in signals
Requirements::
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Having basic C programming skills is a plus
Description:
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 to follow way. The goal of this course is to present practical techniques while avoiding obstacles of abstract mathematical theories. To achieve this goal, the DSP techniques are explained in plain language, not simply proven to be true through mathematical derivations.
Still keeping it simple, this course comes in different programming languages and hardware architectures so that students can put the techniques to practice using a programming language or hardware architecture of their choice. This version of the course uses the MATLAB programming language.
By the end of this course you should be able to perform Convolution with matlab, perform Discrete Fourier Transform (DFT) with matlab, perform Inverse Discrete Fourier Transform (IDFT) with matlab , design and develop Finite Impulse Response (FIR) filters with matlab, design and develop Infinite Impulse Response (IIR) filters with matlab, develop Windowed-Sinc filters with matlab, build Modified Sallen-Key filters, build Bessel, Chebyshev and Butterworth filters, even give a lecture on DSP and so much more. Please take a look at the full course curriculum.
Some of the theory in this course is based on "The Scientist and Engineer's Guide to Digital Signal Processing" by Steven W. Smith. You can download a free copy online.
Who this course is for:
- Engineering Students
- Embedded Systems Engineers
- Embedded Systems Instructors
- Hobbyists
- Developers
Course Details:
- 5.5 hours on-demand video
- Full lifetime access
- Access on mobile and TV
- Certificate of completion