oscillators
There are 42 repositories under oscillators topic.
everget/tradingview-pinescript-indicators
A collection of the various technical indicators implemented in Pine Script Language
MikeMorenoDSP/pd-mkmr
A compilation of abstractions and instruments compatible with Pure Data vanilla.
AudioKit/SoundpipeAudioKit
C-based instruments and effects for AudioKit
lukehorvat/web-audio-oscillators
A collection of Web Audio API custom oscillators.
NonlinearOscillations/HarmonicBalance.jl
A Julia package for solving nonlinear differential equations using the harmonic balance method.
manuwhs/Trapyng
Python library to implement advanced trading strategies using machine learning and perform backtesting.
briosum/mpe-player
Browser Based Audio Oscillators using MPE devices & MPE.js
delosh653/ECHO
An application to find and visualize circadian rhythms in time course data using extended harmonic oscillators.
MuonRay/QuantumNetworkSimulations
A series of simulation codes used to emulate quantum-like networks in the simulation of emergent adaptive behavior, such as network synchronization, and relate the nature of the coupled harmonic oscillators with non-local behavior and chimera states in systems of quantum particles. Coding Used is based on mathematical modelling of transport in quantum many-body systems and networks made tractable using the quantum newtons cradle. A full showcase of this project is discussed in the following videos:https://www.youtube.com/watch?time_continue=115&v=WX3Ds_xCOaE
yarpose/YARPOSE.ML-Communication.Circuits
A Full open-source/Full with Python/ interactive course for all who like to know "What are Communication Circuits?" from scratch to basic applications.
liopic/logue-osc-fx
Custom oscillators and effects for Korg NTS-1, minilogue xd, prologue and other logue-sdk based synths
tomaslink/frequenpy
High-precision physics engine dedicated to the study of standing waves and visualization of its normal modes.
fcast7/Hopf_Delay_Toolbox
This toolbox allows to simulate interactions between neural mass potentials (resonating at 40Hz) in the structural connectome. Here, a single brain region is seen as an oscillator whose dynamics is explained by a Stuart Landau Equation (Hopf Bifurcation including time delay).
narner/Arduino-AudioKitOSX
A simple FM oscillator controlled by an Arduino circuit via serial data.
victimofleisure/PotterDraw
Design your own pottery for 3D printing in full color.
calinalexandru/audio-diagrams
Interactive tool for visually creating and testing Web Audio API routing graphs across different browsers.
keble6/singingcoach
A web app to help you to keep in tune
cayscays/Neural-Network-From-Scratch
Implementation of a customizable neural network for classification tasks. Projects in this repo include medical data analysis and pattern classification in a cellular automaton environment.
cayscays/Oscillators-7x7-Dataset-Game-of-Life
A dataset of 7x7 oscillators in Conway's Game of Life, providing a comprehensive resource for analysis and study.
kiavash-at-home/10GHz-DRO
Designed and built of a 10GHz Dielectric Oscillator
Nebulean/Simulation-oscillateurs-harmoniques
Simulations d'oscillateur harmonique, réalisé dans le cadre d'un projet d'informatique à l'EPFL.
tommasomenara/functional_control
Repository of the code used for the paper "Functional Control of Oscillator Networks"
Zhjy1/Literature-Review-of-Oscillators
A Brief Literature Review of Oscillators
dakofler/Swarmalators
Simulation of the Swarmalator Model and exploring methodes to achieve faster convergence using an additive momentum term
electronicayciencia/pll_4046
Digital Frequency Synthesizer with PIC16F88 and CD4046.
glennforrest/oscillators
Experimenting with web audio API & oscillators
hw17342/Jupyter-notebooks
Selection of interactive (IPython) projects: Matrix multiplication, Capacitor 3D intensity plots, 3D muon tracker and detector using Monte-Carlo simulations, coupled oscillations and heat equation solutions.
ihmc/repast-oscillators
Repast synchronization model for coupled oscillators
nick8055/DIY-CNC-Winding-Machine
I have created a PYTHON program (around 1000 lines of code) for my Raspberry Pi 4 to automate an old, purely mechanical winding machine for winding coils using copper wire, mainly used for the purpose of motors/generators, etc. Initially, you would have to manually wind your coils mechanically by using your right hand to turn the spindle, which rotates the attached bobbin, and the wire fed through the wire guide gets wound over the bobbin. The rotation of the main spindle would also result in the horizontal movement of the wire guide, since the gear of the spindle is mechanically linked to that of the wire guide, through a series of pulleys , rubber bushes, gears, etc. The issue is that, its not all that precise, since you could still encounter overlappings, or gap formations, while winding. Therefore, you would have to carefully wind coils to ensure no gaps or overlaps occur by slowly rotating the spindle with your hand, while paying attention to the winding process, which would take eons to wind one coil, as well as a lot of tiresome and stress. But with retrofitting, most of the above mentioned issues have been nullified. With a pair of stepper motors, stepper drivers, frequency generators, encoders, and a single-board computer to command all these components, it is a BREEZE. One stepper motor connected to the main spindle which rotates the bobbin, another stepper motor which controls the wire guide horizontal travel (right or left). Respective stepper drivers are connected to drive these motors, so that input is given to these drivers, which would drive the motors. Using these drivers, we can alter the speed of the motors, the direction (clockwise or anti-clockwise), as well as enable/disable the motors. A frequency input is given to the driver to spin the motor at desired RPMS. Initially, I generated the frequency from the Raspberry Pi , but found out to be unstable and erratic. Therefore, separate digital frequency oscillators had to be used to produce the frequency steadily. These oscillators support UART protocol, so I was able to interface them with the Raspberry Pi via the Serial communication bus. The Raspberry Pi sends commands under a certain format to these frequency oscillators to change the frequency as well as the duty cycle of their outputs, which are given as inputs to the respective motor drivers. This way, Raspberry Pi can act as the Brain, while the donkey work is done by those oscillators. These two oscillators are mathematically linked using a formula based on the wire thickness used for the winding, which is specified in the PYTHON script. This way, depending on what speed was set for the main spindle motor, the speed motor of the wire-guide goes at a ratio, thereby reducing the chance of overlaps or gap formations while winding. With this setup, you don't have to use your hand to rotate the spindle. It does everything automatically, although you have to keep an eye while the process is going on, incase something happens. You can pause in between in order to sort any kind of issue. The wire guide direction changes automatically after covering each layer, from left to right, and vice-versa. A coil which would normally take 2 hours to be wound precisely, would just take 30 minutes to be wound on a retrofitted machine like this.
stewdio/darkwave
Chunky analog synth sounds from your guitar fretboard.
victoriachistolini/Goodwin_Model
Implementation of Goodwin Model for Simulation of Circadian Network
Bryan351018/SWAPOWN
Synth Waveform Analysis on Parameterized Oscillators and White Noise
okaneco/diysynth
Toy synth and WAVE file library
tresnjo/n-mass-spring-system
A PyGame simulation of the motion over time for an interconnected mass-spring-system with n masses
Windowmac/soundgraph
The user can record or play a sound from a database of user-recorded sounds or an oscillator note. A graph with pitch-change/volume and distortion capabilities give it a musical instrument quality.
LightningStalker/induct
Calculators and utilities for real-world electronic design