| 1 - Bonus lecture.html | 3.6 KB | ||
| 1 - Course materials (reader, MATLAB code, Python code).html | 0 B | ||
| 1 - Course materials (reader, MATLAB code, Python code, exercises).html | 102.4 B | ||
| 10 - Averaging Fourier coefficients.mp4 | 26.5 MB | ||
| 11 - The DC (zero frequency) component.mp4 | 17.7 MB | ||
| 12 - Amplitude spectrum vs. power spectrum.mp4 | 16.3 MB | ||
| 13 - A note about terminology of Fourier features.mp4 | 15.4 MB | ||
| 2 - Aliasing.mp4 | 31.3 MB | ||
| 2 - Complex numbers.mp4 | 31.9 MB | ||
| 2 - How and why it works.mp4 | 37.3 MB | ||
| 2 - How it works, speed tests.mp4 | 22.7 MB | ||
| 2 - How the 2D FFT works.mp4 | 85.8 MB | ||
| 2 - How the discrete Fourier transform works.mp4 | 41 MB | ||
| 2 - Nontechnical description of Fourier transform.mp4 | 36.1 MB | ||
| 2 - Rhythmicity in walking (gait).mp4 | 17.2 MB | ||
| 2 - Sampling and frequency resolution.mp4 | 37 MB | ||
| 3 - Converting indices to frequencies.mp4 | 25.5 MB | ||
| 3 - Examples of Fourier transform applications.mp4 | 92.8 MB | ||
| 3 - Inverse Fourier transform for bandstop filtering.mp4 | 53.9 MB | ||
| 3 - Rhythmicity in electrical brain waves.mp4 | 25.2 MB | ||
| 3 - Signal stationarity and non-stationarities.mp4 | 22.6 MB | ||
| 3 - The fast inverse Fourier transform.mp4 | 8.1 MB | ||
| 3 - Time-domain zero padding.mp4 | 73.4 MB | ||
| 3 - xkcd explanation of why we need complex numbers.html | 102.4 B | ||
| 4 - Converting indices to frequencies part 2.mp4 | 30.4 MB | ||
| 4 - Effects of non-stationarities on the power spectrum.mp4 | 126.9 MB | ||
| 4 - Euler's formula e^ik.mp4 | 42.2 MB | ||
| 4 - Frequency-domain zero padding.mp4 | 20.8 MB | ||
| 4 - MATLAB, Octave, Python, or just watch.mp4 | 6.3 MB | ||
| 4 - The perfection of the Fourier transform.mp4 | 31.5 MB | ||
| 4 - Time series convolution.mp4 | 7.1 MB | ||
| 5 - Narrowband temporal filtering.mp4 | 20.6 MB | ||
| 5 - Sampling rate vs. signal length.mp4 | 26.8 MB | ||
| 5 - Shortcut Converting indices to frequencies.mp4 | 55.7 MB | ||
| 5 - Sine waves and complex sine waves.mp4 | 42.4 MB | ||
| 5 - Solution to understanding nonstationary time series.mp4 | 70.6 MB | ||
| 5 - Using Udemy like a pro.mp4 | 25.7 MB | ||
| 5 - Using the fft on matrices.mp4 | 58.1 MB | ||
| 6 - 2D image filtering.mp4 | 20 MB | ||
| 6 - Course tangent self-accountability in online learning.mp4 | 9.5 MB | ||
| 6 - Dot product.mp4 | 37.4 MB | ||
| 6 - Normalized time vector.mp4 | 34.4 MB | ||
| 6 - Windowing and Welch's method.mp4 | 31.1 MB | ||
| 7 - Complex dot product.mp4 | 33.7 MB | ||
| 7 - Image narrowband filtering.mp4 | 17.1 MB | ||
| 7 - Instantaneous frequency.mp4 | 39.7 MB | ||
| 7 - Positive and negative frequencies.mp4 | 8.8 MB | ||
| 8 - Accurate scaling of Fourier coefficients.mp4 | 38.5 MB | ||
| 8 - Real data from trends.google.com.mp4 | 8.1 MB | ||
| 9 - Interpreting phase values.mp4 | 10 MB | ||
| [CourseClub.ME].url | 102.4 B | ||
| [CourseClub.Me].url | 102.4 B | ||
| [GigaCourse.Com].url | 0 B | ||
| ▲ 67 total files | |||
Udemy - Master the Fourier transform and its applications
Learn the Fourier transform in MATLAB and Python, and its applications in digital signal processing and image processing
Created by Mike X Cohen
Last updated 11/2021
English
English
For More Udemy Courses Visit: https://gigacourse.com
For More Courses Visit: https://Courseclub.me
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