Fast, modern C++ DSP framework, FFT, Sample Rate Conversion, FIR/IIR/Biquad Filters (SSE, AVX, AVX-512, ARM NEON)
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Updated
Nov 10, 2024 - C++
Fast, modern C++ DSP framework, FFT, Sample Rate Conversion, FIR/IIR/Biquad Filters (SSE, AVX, AVX-512, ARM NEON)
Data transmission over sound waves written in JavaScript without any dependencies. All you need is just microphone, speakers and the browser!
Single file forward and inverse Sliding DFT in C, C++ and Python
Finite field polynomial arithmetic based on fast Fourier transforms
Quick evaluation of some FFT jobs in Javascript.
Using Discrete Fourier transform to transform and eliminate noise in asset price time series and identify repeating patterns to exploit and backtest.
numpy practice exercise with solution
Implementation of an algorithm to counterbalance for the chromatic dispersion, that is indroduced in optic fibers.
Implement F-DST to solve 2-D PDE(fast poisson solver) and FFT to compute Multiplication algorithm(Schönhage–Strassen algorithm) with C
The program implements forward and inverse version of 2D Discrete Fourier Transform (FFT), Discrete Cosine Transform, Discrete Walsh-Hadamard Transform and Discrete Wavelets Transform (lifting scheme) in C/C++. The output of transforms is displayed for a given input image.
Discrete fourier transform (DFT) and discrete wavelet transform (DWT) to denoise white noise
It contains all the Assignments and Project I have done in my "Digital Image Processing" Course at "School of Engineering and Applied Science" Ahmedabad University.
Implementation of two new protocols in the Shuffle Model of Differential Privacy for the private summation of vector-valued messages
Digital Signals and Image Processing Programs
Sheet music transcriber written in Python using the discrete Fourier transform.
Discrete Fourier Transform to draw any shape
Implement Cooley–Tukey FFT algorithm with C
🦋 n-point iDFT calculator app (DFT, IDFT, FFT)
An interactive app that visualises how a 2D discrete Fourier Transform (DFT) works
This project includes six parts. The goal is to applying different filters to an audio signal.
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