Search Results for "signal"
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Showing 29 open source projects for "signal"
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A privacy-first API that predicts global consumer preferencesThrough our API, we provide contextualized personalization and insights based on a deep understanding of consumer behavior and more than 575 million people, places, and things.
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Optimize every aspect of hiring with Greenhouse RecruitingWhat’s next for many of us is changing. Your company’s ability to hire great talent is as important as ever – so you’ll be ready for whatever’s ahead. Whether you need to scale your team quickly or improve your hiring process, Greenhouse gives you the right technology, know-how and support to take on what’s next.
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EEGLAB
EEGLAB is an open source signal processing environment
...It incorporates powerful tools for data import, preprocessing, independent component analysis (ICA), time-frequency analysis, artifact rejection, and visualization—all within a GUI framework that also supports scripting and plugin extensions. EEGLAB is an open source signal processing environment for electrophysiological signals running on Matlab and Octave (command line only for Octave). This folder contains original Matlab functions from the EEGLAB (formerly ICA/EEG) Matlab toolbox, all released under the Gnu public license (see eeglablicence.txt). See the EEGLAB tutorial and reference paper (URLs given below) for more information. ... -
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DSP.jl
Filter design, periodograms, window functions
DSP.jl provides a number of common digital signal processing routines in Julia. -
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AI Hedge Fund
An AI Hedge Fund Team
This repository demonstrates how to build a simplified, automated hedge fund strategy powered by AI/ML. It integrates financial data collection, preprocessing, feature engineering, and predictive modeling to simulate decision-making in trading. The code shows workflows for pulling stock or market data, applying machine learning algorithms to forecast trends, and generating buy/sell/hold signals based on the predictions. Its structure is educational: intended more as a proof-of-concept than a... -
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FinGPT
Open-Source Financial Large Language Models
...The platform typically includes tools for fine-tuning, context engineering, and prompt templating, enabling users to build specialized assistants for tasks like sentiment analysis, earnings summary generation, risk profiling, trading signal interpretation, and document extraction from financial reports. -
GWI: On-demand Consumer ResearchNeed easy access to consumer insights? Our intuitive platform is the answer. Get the ultra-reliable research that brands and agencies need to stay ahead of changing consumer behavior.
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FFTW.jl
Julia bindings to the FFTW library for fast Fourier transforms
This package provides Julia bindings to the FFTW library for fast Fourier transforms (FFTs), as well as functionality useful for signal processing. These functions were formerly a part of Base Julia. Users with a build of Julia based on Intel's Math Kernel Library (MKL) can use MKL for FFTs by setting a preference in their top-level project by either using the FFTW.set_provider!() method, or by directly setting the preference using Preferences.jl. Note that this choice will be recorded for the current project, and other projects that wish to use MKL for FFTs should also set that same preference. ... -
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EBSP Indexer
GUI for processing and indexing EBSP from SEMs
EBSP Indexer is a graphical user interface that allows for processing and indexing of Electron backscatter patterns which are generated by scanning electron microscopes. Its goal is to make the rich functionality of the open-source library kikuchipy more accessible to users, without requiring knowledge of python or the library itself. Contribute by using our DOI: https://zenodo.org/record/7925262 -
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Padasip
Python Adaptive Signal Processing
Padasip (Python Adaptive Signal Processing) is a Python library tailored for adaptive filtering and online learning applications, particularly in signal processing and time series forecasting. It includes a variety of adaptive filter algorithms such as LMS, RLS, and their variants, offering real-time adaptation to changing environments. The library is lightweight, well-documented, and ideal for research, prototyping, or teaching purposes. -
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ArrayFire.jl
Julia wrapper for the ArrayFire library
ArrayFire is a library for GPU and accelerated computing. ArrayFire.jl wraps the ArrayFire library for Julia, and provides a Julia interface. Install ArrayFire library: either download a binary from the official site, or you can build from source. -
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Bashtop
Linux/OSX/FreeBSD resource monitor
...Bashtop supports themes, configurable update intervals, and has optional dependencies to augment its functionality (e.g. for temperature, extended stats). It is designed for Unix-like systems. Ability to signal processes (SIGTERM, SIGKILL, SIGINT) from within its interface. Optional features like temperature monitoring if supported sensors/tools are installed, and support for alternate data collection methods (e.g. psutil for macOS/FreeBSD). -
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DSPatch
The Refreshingly Simple C++ Dataflow Framework
Webite: http://flowbasedprogramming.com DSPatch, pronounced "dispatch", is a powerful C++ dataflow framework. DSPatch is not limited to any particular domain or data type, from reactive programming to stream processing, DSPatch's generic, object-oriented API allows you to create virtually any dataflow system imaginable. *See also:* DSPatcher ( https://github.com/MarcusTomlinson/DSPatcher ): A cross-platform graphical tool for building DSPatch circuits. DSPatchables (... -
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AnyWave is a multi-platform software designed for neurologists and researchers who want to visualise and apply signal processing on electrophysiological signals. AnyWave can handle EEG, SEEG, MEG and more. MATLAB/Python/C++ plugins can be added. See this wiki section to learn how to build AnyWave on Linux : http://meg.univ-amu.fr/wiki/AnyWave:BuildSDK
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isiKnock
In silico knockouts for signaling pathways
...isiKnock is a software to automatically conduct and visualize in silico knockouts for signaling pathways (Hannig et al. 2019). isiKnock predicts the knockout behavior based on the calculation of signal flows at steady state. For an explanation of the concept of in silico knockouts, we refer to Scheidel et al. 2016 and Amstein et al. 2017. Hannig et al. (2019) isiKnock: in silico knockouts in signaling pathways, Bioinformatics, 35(5), 892–894 Amstein et al. (2017) Manatee invariants reveal functional pathways in signaling networks. ... -
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LEAN
Lean algorithmic trading engine by QuantConnect
...Trigger regular functions to occur at desired times, during market hours, on certain days of the week, or at specific times of day. Backtest on almost any time series and import your proprietary signal data into your strategy. Everything is configurable and pluggable. LEAN's highly modular foundation can easily be extended for your fund focus. Use combinations of margin, fill, and slippage models to simulate a liquidity endpoint. 100+ popular technical indicators built, tested, and ready for use. Applicable to any data source. -
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TONIC
Analysis of neural spiking data generated by multi-electrode arrays
A neuroscience data analysis package for handling extracellular potentials recorded by multi-electrode arrays, including signal processing, event detection, feature extraction, and spike sorting. -
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Gimias
Graphical Interface for Medical Image Analysis and Simulation
GIMIAS is a workflow-oriented environment for solving advanced biomedical image computing and individualized simulation problems, which is extensible through the development of problem-specific plug-ins. In addition, GIMIAS provides an open source framework for efficient development of research and clinical software prototypes integrating contributions from the Physiome community while allowing business-friendly technology transfer and commercial product development. -
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Sample Level Musical Timeline
Sample Level Modulation of Musical Timeline
Sample Level Modulation of Musical Timeline Mingfeng Zhang Dept. of Electrical and Computer Engineering, University of Rochester In this toolbox we provide signal processing tools to allocate music events (samples of musical notes) to specified time locations with sample level accuracy. In this implementation, we use computational tools to add in micro-timing variations in J.S. Bach four-part chorales as a "visualizer" for big data. By extracting data patterns from multiple time scales, we implement a tool that musicians can perform the big data at different resolutions. ... -
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chipexo
model based analysis of ChIP-exo data
Here we developed a novel analysis framework named MACE (model-based analysis of ChIP-exo) dedicated to ChIP-exo data analysis. MACExo has the following four steps: 1) sequencing data normalization and bias correction; 2) signal consolidation and noise reduction; 3) single nucleotide resolution border detection using Chebyshev Inequality; and 4) border matching using Gale-Shapley’s stable matching algorithm. When applied to yeast Reb1 and human CTCF ChIP-exo data, MACE is able to define TFBSs with higher sensitivity, specificity and spatial resolution, as evidenced by multiple criteria, such as motif enrichment, sequence conservation, nucleosome positioning, and open chromatin states. -
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Seer
Seer is a multipurpose data analysis package for Monte Carlo data.
Seer is a multipurpose data analysis package for Monte Carlo simulation data, particularly for collider physics processes. Seer reads LHCO files and performs a variety of cuts and analyses on the data for either exploratory data analysis or reproduction of experimental studies. -
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LogisticBell
Here we test the Logistic Map using finite and infinite precision...
Here we test the Logistic Map using finite and infinite precision floats (Apfloats). More decimals produce longer sequence (longer chaotic signal for certain parameters). Shorter decimal precision makes the sequence converge to zero eventually. In the process, number of decimals rises and then drops for some reason, forming a bell-shaped curve with long tail. On second consideration, this does not look like a bell-shaped curve at all. Logistic map calculated with parameters x initial = 0.9 and r = 4. -
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light filter calculator
lightweight digital filter calculator
This program used Remez exchange (equiripple) algorithm calculate a FIR filter coefficients and then convert to integer for FPGA, DSP or MCU. Additionally, it can be design a simple IIR notch filter for reduce power line interfere. You can run in the following way. Good luck! -
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vonMises
Package for dealing with the von Mises periodogram
This is the package of C++ programs facilitating the practical use of the von Mises periodogram. The von Mises periodogram is a data-analysis period-search tool that models the periodic signal with the so-called von Mises function, K exp(nu cos x). The package can be used to compute the periodogram itself, as well as its detection significance levels. It can also perform some Monte Carlo simulations of the periodogram. The details of the theory are given in the following refereed paper: Baluev R.V., 2013, MNRAS, V. 431, P.1167-1179. ... -
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qt_fifs
Simple Calculator for coherent sampling of sinusoids
A simple desktop application that is handy to calculate sampling parameters for sinusoidal waveforms. There is one set of parameters for the source side, and another for the capture side. Once you arrive at suitable parameters for either side you can copy and paste to the other and calculate appropriate values. -
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Create colorful WiFi signal strength maps from NetStumbler GPS and signal data. Compatible with Google Earth. As far as we know, this is the only dedicated wifi mapper / map generation software currently available under GPL.
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Signal Visualizer is a client/server system that uses TCP/IP to display digital signals (DSP) graphically onto a remote server. The only requirements for the embedded system are : a physical IP interface and a C/C++ compiler that includes a socket API.
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Feature extraction toolkit based on a wavelet multiscale vision model. Includes 1D signal processing sample application for line identification and classification of astronomical spectra.
