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Dario Sanfilippo's Projects

awesome-cv icon awesome-cv

:page_facing_up: Awesome CV is LaTeX template for your outstanding job application

bitstream_dsp_ann icon bitstream_dsp_ann

This repository provides programs for the generation of training data for arithmetic and analysis processing of delta-sigma streams based on the KANN neural network library. The project was funded by the City of Vienna Science Grants programme.

concatenative_granulation icon concatenative_granulation

Live concatenative granular processing for click-free looping, complex wavetable oscillation, and non-overlapping granulation with rectangular windowing.

edgeofchaos icon edgeofchaos

This repository is not maintained anymore. If I have any significant contributions, I usually do a PR for the Faust libraries. This repository contains the Faust libraries for sound and information processing that I use to implement my music complex adaptive systems.

faust icon faust

Functional programming language for signal processing and sound synthesis

ideal_oscillators icon ideal_oscillators

Example code of how to use structures to create objects in C, which here are used to generate a few samples of the common ideal oscillators.

kann icon kann

A lightweight C library for artificial neural networks

limiterclass icon limiterclass

C++ classes for an IIR look-ahead limiter implementing cascaded exponential smoothers for low-distortion peak limiting and maximisation.

maximiser icon maximiser

Eight-band maximiser based on IIR look-ahead peak limiters

modified_chua icon modified_chua

Complex sound generator based on modified Chua differential equations.

modified_lorenz icon modified_lorenz

Complex sound generator based on modified Lorenz differential equations.

modified_rossler icon modified_rossler

Complex sound generator based on modified Rössler differential equations.

modified_thomas icon modified_thomas

Complex sound generator based on modified Thomas differential equations.

nonlinear_mapping icon nonlinear_mapping

C++ classes for different nonlinear mapping functions with adjustable steepness.

realfaust icon realfaust

This library contains a set of functions representing domain-limited versions of all Faust primitives and math functions that can potentially generate INF or NaN values. The goal of the library is to be able to implement DSP networks that, structurally, are free from INF and NaN values. Hence, the resulting programs should be rock-solid during real-time performance and virtually immune to crashes regardless of how mercilessly a network is modulated or how unstable a recursive system is made.

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