Python implementation of Fourier Transform pricing methods for the European call option, including the Fast-Fourier transform method described in Carr and Madan 1999.

Java Implementation of the Sonopy Audio Feature Extraction Library by MycroftAI

implement FFT on 2-D images

generating periodic caustics pattern in space and time

Bali has a diversity of arts that has been recognized by the world, where one of the most famous Balinese arts is the Karawitan art, especially the Kendang Tunggal instrument. Notation documentation or more commonly known as music transcription, can make learning a song easier, and in the case of this research, it makes it easier to learn to play the Kendang Tunggal instrument. The first approach method used to document a kendang tunggal song is onset detection. Onset is when the signal experiences an attack period, which helps segment the sound color of the drum instrument. The segmented kendang tunggal sound color classification uses the Backpropagation algorithm with several features of the frequency domain and time domain as a characteristic of the sound color. Then the kendang tunggal song is revived into a synthetic sound with the Mel Spectral Approximation filter. Based on the research, the optimal parameter for drum sound color segmentation with onset detection is the hop size 110 with normalization of the features on its onset detection function. The optimal backpropagation architecture obtained with a learning rate of 0.9, neurons 10, and epoch 2000 produces an accuracy of 60.85%. The synthesis method using the Mel Log Spectrum Approximation can make synthetic sounds similar to kendang songs with an accuracy of 83.33%

This classifiers the gender of the person speaking in the singular audio file using Artificial Neural Networks

안드로이드 스마트폰 마이크를 이용한 주파수/음계추출

Make operation on signal with c# (FIR/IIR Filters)

simple codes, useful in data analysis for physics student

Fast Fouier Transform in C

A hobby project for creating a Software which Visualizes Sound

Polynomial calculator, with love 💕 (Contains the secret implementation of the Complex polynomials !!!!!)

The mathematical concept of Fast Fourier Transform is used to De-Noise a signal.

A Python module which calls Fortran subroutines to perform a Fast Fourier Transform.

Impletation of FFT using MPI in C(Parallel Computing)

MATLAB code for Cochlear Implant Project that aims to explore the nuances of speech-to-speech, melody-to-melody signal processing.

A custom bluetooth speaker project conceived from an FFT mini-project. This MCU version serves as a test bed for the FPGA version.

We use the mathematical concept of Fast Fourier Transform to compress an image.

DTMF Decoder interprets telephone keypad audio, converting dial tones into digits. Designed in Python using Fast Fourier Transform (FFT) and DSP, it applies noise filtering techniques with NumPy, pandas and SciPy to reliably decode dual frequency tones even in noisy recordings.

Speech Enhancement using Spectral Subtraction Type Algorithm

My solution for Fortran assignment - task 2

Compute the Fractional Fast Fourier transform

Digital and Signal Processing

Python based audio visualizer

A simple program that can denoise audio signals. This Program was written by Kunal Singh, Vidhi Tailor and Nilay Ghalsasi of St. Xaviers College, Mumbai as a part of their college project

Predicting Forces acting on drones using sensor data

Automated Guitar Tuner: An Arduino-based project that uses a stepper motor and FFT analysis to automatically tune a guitar. The system captures and analyzes the guitar string’s frequency, adjusts the tuning peg, and ensures each string is perfectly in tune.

VHDL modular Fast Fourier Transform based on Cooley-Tukey algorithm

A Simple implementation of the Fast Fourier Transform for 1D and 2D data in C

using mobile sensor by phyphox to collect data and build a zoom-in adaptation for better posture