| 001 Introduction.en.srt | 16.8 KB | ||
| 001 Introduction.mp4 | 71.3 MB | ||
| 002 Discrete Fourier Transform.en.srt | 21.6 KB | ||
| 002 Discrete Fourier Transform.mp4 | 86.5 MB | ||
| 002 FFT_and_Spectral_Analysis_Part2.pdf | 2.1 MB | ||
| 003 Spectrum Leakage and Signal Windows.en.srt | 47.2 KB | ||
| 003 Spectrum Leakage and Signal Windows.mp4 | 202.3 MB | ||
| 004 Introduction to Matlab.en.srt | 29.6 KB | ||
| 004 Introduction to Matlab.mp4 | 127.8 MB | ||
| 005 Matlab Scripts and plot functions.en.srt | 21.1 KB | ||
| 005 Matlab Scripts and plot functions.mp4 | 99.3 MB | ||
| 005 testscript.m | 204.8 B | ||
| 006 Using Complex numbers in Matlab.en.srt | 8.6 KB | ||
| 006 Using Complex numbers in Matlab.mp4 | 39.4 MB | ||
| 007 Angle, Phase and phase unwrapping method.en.srt | 9.6 KB | ||
| 007 Angle, Phase and phase unwrapping method.mp4 | 40.4 MB | ||
| 007 angle_unwrapping.m | 716.8 B | ||
| 008 Sine Wave generation example.en.srt | 11.9 KB | ||
| 008 Sine Wave generation example.mp4 | 48 MB | ||
| 008 sinewave.m | 1 KB | ||
| 009 Sine Wave, Square Wave and FFT example.en.srt | 15.3 KB | ||
| 009 Sine Wave, Square Wave and FFT example.mp4 | 65.7 MB | ||
| 009 sinewave_to_square.m | 1 KB | ||
| 010 Using sum of sinusoidal waves for approximation.en.srt | 12.2 KB | ||
| 010 Using sum of sinusoidal waves for approximation.mp4 | 46.8 MB | ||
| 010 squarewave_sum.m | 716.8 B | ||
| 011 DFT and Spectrum Leakage Example.en.srt | 28.9 KB | ||
| 011 DFT and Spectrum Leakage Example.mp4 | 134.8 MB | ||
| 011 spectrumleak.m | 1.6 KB | ||
| 012 Delay and Phase shift using phase information.en.srt | 14.5 KB | ||
| 012 Delay and Phase shift using phase information.mp4 | 62 MB | ||
| 012 phaseshift.m | 1.4 KB | ||
| 013 Up and Down Conversion using DFT.en.srt | 31.6 KB | ||
| 013 Up and Down Conversion using DFT.mp4 | 132.6 MB | ||
| 013 updownconversion.m | 2.6 KB | ||
| 014 Product of signals and DFT spectrum.en.srt | 9.7 KB | ||
| 014 Product of signals and DFT spectrum.mp4 | 45.8 MB | ||
| 014 signalproduct.m | 1 KB | ||
| 015 Convolution of Signals in Matlab.en.srt | 34.7 KB | ||
| 015 Convolution of Signals in Matlab.mp4 | 145.4 MB | ||
| 015 pulseconvolution.m | 2 KB | ||
| 016 Signal Detection in noise using Cross-Correlation.en.srt | 16.2 KB | ||
| 016 Signal Detection in noise using Cross-Correlation.mp4 | 64.6 MB | ||
| 016 crosscorrelation.m | 1.5 KB | ||
| 017 Time Domain, Spectral and Phase methods for Frequency detection.en.srt | 58.9 KB | ||
| 017 Time Domain, Spectral and Phase methods for Frequency detection.mp4 | 234.2 MB | ||
| 017 frequency_delta.m | 3.9 KB | ||
| Bonus Resources.txt | 307.2 B | ||
| Get Bonus Downloads Here.url | 204.8 B | ||
| ▲ 49 total files | |||
Discrete Fourier Transform and Spectral Analysis (MATLAB)
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 17 lectures (4h 48m) | Size: 1 GB
Introduction to Fourier Transform and Spectral Analysis - Part 2
What you'll learn:
Understanding Discrete Fourier transform basics, implementing DFT, convolution and correlation in Matlab/Octave
Essential signal processing skills using Matlab/Octave
Requirements
Familiarity with Fourier transform and spectral analysis
My course "Introduction to Fourier Transform and Spectral Analysis Part 1" on UDEMY is desirable prerequisite
Description
This course is continuation of Fourier transform and spectral analysis series. In this course I will introduce discrete Fourier Transform, explain concepts of frequency bins and frequency resolution and illustrate spectral leakage effect.
The best way to understand what happens with signals and spectral components is to generate test signals and spectra. The shortest route is to learn Matlab (or use compatible open-source Octave program). I will describe very simple basic set of Matlab programming skills and after a couple of short lectures you will be able to edit and run simple scripts and plot your output results.
If You Need More Courses, kindly Visit and Support Us -->> https://FreeCourseWeb.com
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