Discover @BoraKis Open Source projects

Bora KIŞ (@BoraKis)

BoraKis

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Global Rank 517,529 (Top 18 %)
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Registered almost 6 years ago
Most used languages

Python
27.3 %

MATLAB
27.3 %

Jupyter Notebook
18.2 %

JavaScript
9.1 %

CSS
9.1 %

HTML
9.1 %
Location 🇹🇷 Turkey
Country Total Rank 3,933
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MATLAB
58

Jupyter Notebook
732

Python
1,095

CSS
1,281

HTML
3,434

JavaScript
3,890

Hand-Gesture-Recognition

In this application, the interpretation of these movements through mathematical algorithms is studied by using a camera that detects the hand movements of the user.

MATLAB-Periodogram-and-Welch-Method

Calculation of power spectrum densities of method signals

GlobalAIHubPythonHomework

Jupyter Notebook

borakis.github.io

My academic personel website forked from reference academicpages.github.io https://borakis.github.io

python-random-quote

A file-based quote bot written in Python

github-pages-with-jekyll

WAVELET-ANALYSIS

In this practical you would learn how to determine the range of scales corresponding to a range of frequencies in the Continuous Wavelet Transform (CWT). Furthermore, you would see how wavelets can detect a self-similar, or fractal, signal.

PicBasicPro-Application

merge-conflicts

TensorFlow-Pokemon-Course

Jupyter Notebook

intermediate-python-course

an intermediate Python course

intro-html

A robot powered training repository 🤖

-Choosing-the-Right-Sampling-Frequency

According to the Nyquist Criterion, in order to accurately generate the f (t) signal, it is necessary to make a sampling of at least twice the highest frequency component of f (t). One of the approaches used to accomplish this is the sampling of the signal by selecting the sampling frequency 5 times larger than the highest frequency component.