Introduction To The Discrete Fourier Transform With Python

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Posted on 2019-03-21, by fubber.

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Introduction To The Discrete Fourier Transform With Python
mp4 | AVC: 1280x720 G_P| Audio:AAC LC 128 Kbps | Total files:32 | mp4, zip, txt, vtt, html | 782 MB
Genre: eLearning | Language: English



General:


What you'll learn

understand the math behind the Discrete Fourier Transform(DFT), one of the most useful formulas in applied math and computer science.
gain a deeper appreciation for the DFT by applying it to simple applications using Python
be able to mathematically and programmatically determine note/chord of a sound file using the DFT in Python
understand the basics of digital audio
be able to filter out noise from a sound file using Python
be able to understand the basics of sound compression and filtering
understand the difference between time domains vs. frequency domains of digital signals
implement your own version of the Discrete Fourier Transform in Python and compare it to the efficient Fast Fourier Transform
understand why the DFT works
understand the DFT from the geometric viewpoint via the inner product
be able to programmatically play sounds from .txt and .wav files
understand the basics of sounds, music theory, physics of sounds




Video:

Width: 1280 pixels
Height: 720 pixels
Format: AVC
Codec: AVC
Duration: 25min 4s
Bit rate: 508 Kbps
Frame rate: 30.000 fps
Aspect ratio: 16:9
Bit depth: 8 bits
Color space: YUV
Subtitles: N/A


Audio:

Audio track: 1
Language: N/A
Codec: AAC LC
Channels: 2
Bit rate: 128 Kbps N/A
Compression: Lossy
Sampling rate: 44 Khz


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