Udemy - Learn how to detect dominant cycles with spectrum analysis torrent

Learn how to detect dominant cycles with spectrum analysis
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Last updated 11/2023

MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch

Language: English | Duration: 49m | Size: 729.4 MB
Using the Fast Fourier Transform and the DFT-Goertzel algorithm to detect cycles in noisy data sets (financial markets)
What you'll learn

This course explains the key elements of a Fourier-based spectrum analysis.

Understanding the basic computations involved in FFT-based or Goertzel-algorithm-based measurement.

Explaining the core background of FFT in layman terms and concentrate on the important aspects on “how to read a spectrum” plot.

Learn why the Goertzel algorithm outperforms classical Fourier transforms for the purpose of cycles detection in financial markets

Get the source code to implement the generalized Goertzel transform
Requirements

Basic cycle and/or spectrum analysis knowledge is helpfull, but not mandatory.