Discrete Fourier Transform and Spectral Analysis (MATLAB)

Introduction to Fourier Transform and Spectral Analysis - Part 2
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Udemy
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English
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Engineering
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Discrete Fourier Transform and Spectral Analysis (MATLAB)
125
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5 hours
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Apr 2021
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$19.99
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Why take this course?

πŸš€ Course Title: Discrete Fourier Transform and Spectral Analysis (MATLAB)

πŸŽ“ Course Headline: Introduction to Fourier Transform and Spectral Analysis - Part 2 πŸ“š


Unlock the World of Signals with MATLAB!

Welcome to the continuation of our deep dive into the fascinating realm of Fourier Transform and Spectral Analysis. In this course, ** Alexander Taratorin **will be your guide through the intricacies of the Discrete Fourier Transform (DFT) and its practical applications in signal processing.

πŸ” What You'll Learn:

  • Understanding DFT: Grasp the concept behind the Discrete Fourier Transform and how it differs from its continuous counterpart.
  • Frequency Bins and Resolution: Learn about frequency bins and their significance in analyzing signal frequency components, as well as the importance of frequency resolution in your analysis.
  • Spectral Leakage: Discover the phenomenon of spectral leakage and how it can distort your spectral analysis, along with methods to mitigate its effects.

Practical Skills & MATLAB Mastery:

  • MATLAB Essentials: Dive into a basic set of Matlab programming skills that are essential for signal processing tasks. After just a couple of short lectures, you'll be editing and running simple scripts and interpreting your results.
  • Hands-On Learning: Each lecture comes with downloadable MATLAB scripts to accompany the concepts discussed. This hands-on approach ensures you're not just learning theoryβ€”you're applying it in real-time.

In-Depth MATLAB Tutorials:

  • Signal Generation: Begin with the generation of simple sinusoidal signals and move on to more complex signal processing techniques such as up- and down-conversion, convolution, and cross-correlation.
  • FFT Analysis: Learn how to measure frequency using phase approximation and gain insights into interpreting FFT results.
  • Program Development Skills: Develop your signal processing programs with the help of a variety of useful tricks that Alexander will share with you throughout the course.

Course Highlights:

  • Real-Time Execution: Watch video lectures where each step of the MATLAB program is explained, followed by real-time results of script execution to solidify your learning experience.
  • Essential Skills Acquisition: After completing this course, you will have acquired a set of essential skills for signal processing and FFT analysis using MATLAB, ready to tackle more complex projects with confidence.

Join Alexander Taratorin in this enlightening journey through the world of signals and their spectral representation. Whether you're new to MATLAB or looking to deepen your understanding of signal processing, this course will provide you with the tools and knowledge necessary to excel in your endeavors.

πŸ‘©β€πŸ« Instructor: Alexander Taratorin - A seasoned expert with a passion for making complex concepts accessible and engaging.

πŸš€ Embark on Your Signal Processing Journey Today! πŸš€

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3990942
udemy ID
18/04/2021
course created date
12/07/2021
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