Project for the Signal Processing course @acs, UPB 2021
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Updated
Jul 23, 2021 - MATLAB
Project for the Signal Processing course @acs, UPB 2021
Demonstrating the use of the inverse Fourier transform to encode images in sound files
A hybrid image is an image that is perceived in one of two different ways, depending on viewing distance, based on the way humans process visual input.
Digital signal processing examples
Automatic pet feeder using Internet of Things (IOT) ensures that your pet is fed at right times without you worring about filling the feed.
An implementation of the Fast Fourier Transform (FFT) algorithm to multiply two polynomials efficiently.
This repository contains code and resources for music note detection using solely signal processing techniques without resorting to any Machine Learning and Deep Learning method. Sound is regenerated after analysis using sinusoidal modeling.
We use the mathematical concept of Fast Fourier Transform to compress an image.
Interactive Jupyter Notebook to show how the fft works
This python project implements a first approach of an audio coder based on the DFT. Sub-band Coding based on FFT
The mathematical concept of Fast Fourier Transform is used to De-Noise a signal.
Algorithms for Fast Fourier Transform (FFT) and the Inverse Fast Fourier Transform (IFFT)
OpenGL and Java FFT Ocean Simulation Shaders
Use Google Home to send DMX
FFT and IFFT for `vector`, with minimal dependencies
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