Search Results for "signal analysis"
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Showing 148 open source projects for "signal analysis"
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AERIS-10
Open-source, low-cost 10.5 GHz PLFM phased array RADAR system
AERIS-10 appears to be a specialized signal processing and radar analysis project focused on pulse linear frequency modulation techniques, which are commonly used in modern radar systems for high-resolution detection and ranging. The project likely implements algorithms for generating, analyzing, and visualizing chirp-based radar signals, enabling experimentation with time-frequency characteristics and signal reconstruction. -
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SigLens
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Siglens is an open-source signal analysis toolkit designed for processing and visualizing time-series data, commonly used in scientific and engineering applications. -
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EEGLAB
EEGLAB is an open source signal processing environment
EEGLAB is an open source, MATLAB-based interactive environment for analyzing electrophysiological signals such as EEG and MEG. 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). ... -
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FISSURE
The RF and reverse engineering framework for everyone
FISSURE is an open-source radio frequency analysis and signal intelligence framework built to support software-defined radio research, wireless security experimentation, and protocol reverse engineering. The project brings together tools for capturing, inspecting, decoding, replaying, and analyzing RF signals across a wide range of wireless technologies. It is designed as a practical environment for researchers and operators who need to move from raw spectrum observation to structured investigation without stitching together too many separate utilities by hand. ... -
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reverse-SynthID
Reverse engineering Gemini's SynthID detection
Reverse-SynthID is a research-focused project that analyzes and reverse-engineers Google’s SynthID watermarking system used in AI-generated images. It leverages signal processing and spectral analysis techniques to identify hidden watermark patterns without access to proprietary encoding methods. The project introduces a multi-resolution “SpectralCodebook” that maps watermark characteristics across different image sizes. Using this approach, it can detect SynthID watermarks with high accuracy and selectively reduce or remove them through frequency-domain manipulation. ... -
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pyAudioAnalysis
Python Audio Analysis Library: Feature Extraction, Classification
pyAudioAnalysis is an open-source Python library designed for audio signal analysis, machine learning, and music information retrieval tasks. The project provides a collection of tools that allow developers to extract meaningful features from audio files and use those features for classification, segmentation, and analysis. The library supports multiple audio processing workflows, including feature extraction from raw audio signals, training of machine learning models, and automatic audio segmentation. ... -
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URH (Universal Radio Hacker)
Universal Radio Hacker: Investigate Wireless Protocols Like A Boss
Universal Radio Hacker (URH) is a tool for investigating unknown wireless communication protocols. It supports signal capturing, decoding, modulation analysis, and protocol reverse engineering through an intuitive graphical interface. URH is used in research, security testing, and hobbyist electronics for understanding proprietary RF systems, IoT device communication, and embedded protocols. -
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INTERCEPT
Unites the best signal intelligence tools
iNTERCEPT is a web-based interface that brings multiple software-defined radio and signal-intelligence style tools under one consistent dashboard, making complex workflows more approachable. Rather than requiring you to learn a different UI and setup process for each underlying utility, it provides a single place to start modes, view results, and monitor activity from a browser. The project’s goal is accessibility: lowering the skill and setup barrier so learners and authorized testers can explore radio and RF-adjacent analysis with clearer workflows and less tool friction. ... -
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audioFlux
A library for audio and music analysis, feature extraction
A library for audio and music analysis, and feature extraction. Can be used for deep learning, pattern recognition, signal processing, bioinformatics, statistics, finance, etc. audioflux is a deep learning tool library for audio and music analysis, feature extraction. It supports dozens of time-frequency analysis transformation methods and hundreds of corresponding time-domain and frequency-domain feature combinations. -
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Kubescape
Kubescape is an open-source Kubernetes security platform for your IDE
...Kubescape includes misconfiguration and vulnerability scanning as well as risk analysis and security compliance indicators. All results are presented in context and users get many cues on what to do based on scan results. Targeted at the DevSecOps practitioner or platform engineer, it offers an easy-to-use CLI interface, flexible output formats, and automated scanning capabilities. -
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FinGPT
Open-Source Financial Large Language Models
FinGPT is an open-source, finance-specialized large language model framework that blends the capabilities of general LLMs with real-time financial data feeds, domain-specific knowledge bases, and task-oriented agents to support market analysis, research automation, and decision support. It extends traditional GPT-style models by connecting them to live or historical financial datasets, news APIs, and economic indicators so that outputs are grounded in relevant and recent market conditions rather than generic knowledge alone. 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. -
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Librosa
Python library for audio and music analysis
Librosa is a powerful Python library for analyzing and processing audio and music signals. Built on top of NumPy, SciPy, and matplotlib, it provides a wide range of tools for feature extraction, time-series manipulation, audio display, and music information retrieval. Whether you're building machine learning models for audio classification or visualizing spectrograms, Librosa is a go-to library for researchers and developers working in audio signal processing. -
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AudioMuse-AI
AudioMuse-AI is an Open Source Dockerized environment
AudioMuse-AI is an open-source system designed to automatically generate playlists and analyze music libraries using artificial intelligence and audio signal processing techniques. The platform runs locally in a Dockerized environment and performs detailed sonic analysis on audio files to understand characteristics such as tempo, mood, and acoustic similarity. By analyzing the underlying audio content rather than relying on external metadata services, the system can organize large personal music libraries and generate curated playlists for different moods or listening contexts. ... -
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PowerTrader_AI
Fully automated crypto trading powered by a custom price prediction AI
PowerTrader_AI is a fully open-source, automated cryptocurrency trading bot that combines a custom price prediction AI with a structured and tiered dollar-cost averaging (DCA) strategy to make real trading decisions on behalf of users. It continuously analyzes market data to forecast high and low price levels across multiple timeframes, using those predictions to determine when to open, scale into, or close positions automatically, which aims to take emotion out of trading and enforce... -
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MoarVM
A runtime built for the 6model object system
Short for "Metamodel On A Runtime", MoarVM is a modern virtual machine built for the Rakudo Perl 6 compiler and the NQP Compiler Toolchain. MoarVM is used by the majority of Perl 6 programmers. Highlights include: Great Unicode support, with strings represented at grapheme level, dynamic analysis of running code to identify hot functions and loops, and perform a range of optimizations, including type specialization and inlining, support for threads, a range of concurrency control constructs,... -
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Qwen2-Audio
Repo of Qwen2-Audio chat & pretrained large audio language model
Qwen2-Audio is a large audio-language model by Alibaba Cloud, part of the Qwen series. It is trained to accept various audio signal inputs (including speech, sounds, etc.) and perform both voice chat and audio analysis, producing textual responses. It supports two major modes: Voice Chat (interactive voice only input) and Audio Analysis (audio + text instructions), with both base and instruction-tuned models. It is evaluated on many benchmarks (speech recognition, translation, sound classification, emotion, etc.), and offers pretrained models (e.g. 7B) released via ModelScope and Hugging Face. ... -
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Situation Monitor
Real-time dashboard for monitoring global news and markets
Situation Monitor is an open-source real-time dashboard designed to aggregate and visualize global information streams related to news, financial markets, technology, and geopolitical developments. The project aims to provide a centralized situational awareness interface where users can observe multiple sources of high-signal information without constantly switching between separate applications or websites. Instead of functioning as a traditional news reader, the platform is designed more... -
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SuperCollider
Audio server, programming language, and IDE for sound synthesis
SuperCollider is a platform for audio synthesis and algorithmic composition, used by musicians, artists, and researchers working with sound. It is free and open source software available for Windows, macOS, and Linux. scsynth, a real-time audio server, forms the core of the platform. It features 400+ unit generators (“UGens”) for analysis, synthesis, and processing. Its granularity allows the fluid combination of many known and unknown audio techniques, moving between additive and... -
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LaReview
The code review workbench
LaReview is a developer-first, local-first code review workbench designed to transform complex pull requests or diffs into structured, high-signal review workflows powered by AI assistance. Instead of overwhelming developers with raw diffs or automated comment spam, the tool analyzes code changes and generates an intent-driven review plan that groups changes into logical flows such as authentication, API behavior, or data handling, and prioritizes them based on risk. It operates as a desktop... -
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dab sdr gui
DAB+ SDR receiver for scanning, playback, and signal analysis
DAB+ SDR is a software-defined radio application for receiving and exploring DAB+ digital radio. It includes band scanning to find available stations, live playback, an audio equalizer for sound adjustment, and a spectrum analyzer for real-time signal visualization. It is designed to make DAB+ listening and signal monitoring simple, practical, and flexible. -
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SAVA
A Signal Acquisition, Visualization & Analysis software
A Signal Acquisition, Visualization & Analysis software application: * Signals, as in analog sensor data * Acquisition, as in data sampling/capturing/recording * Visualization, as in plotting raw/processed data * Analysis, as in live/post data processing Capabilities: The software has build in support for National Instruments Daq equipment (NI-DAQ) or it can load external source scripts (python), for customizable data sources. -
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LARA is software for musical analysis using (new) scientific methods for analysis and visualization. LARA is part of the core research: “Interpretation and performance” of the HSLU – Musik (University of Applied Sciences Luzern – Music depart
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FlowSignal
Real-time crypto market microstructure analysis tool
FlowSignal is a standalone desktop application for real-time cryptocurrency market analysis. It connects to live market data streams and processes multiple microstructure indicators simultaneously to identify potential short-term trading setups. The system generates a signal (LONG or SHORT) with specific entry zone, stop-loss level (~1%), and two take-profit targets. FlowSignalis designed for crypto scalpers and day traders who want a quantitative "second opinion" based on market microstructure data, complementing traditional chart analysis. ... -
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Pro-statTarget is Portable Version and standalone software, provides a graphical user interface for quality control based signal drift correction (QC-RFSC), integration of data from multi-batch MS-based experiments, and the comprehensive statistical analysis in metabolomics and proteomics. Author: Hemi Luan Maintainer: Hemi Luan Citation (from within R, enter citation("statTarget")): Luan H, Ji F, Chen Y, Cai Z (2018). “statTarget: a streamlined tool for signal drift correction and interpretations of quantitative mass spectrometry-based omics data.” ...
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Aviator Predictor
Aviator hack: seed-inspection of aviator crash predictor & aviator app
Our downloadable SHA256 analysis tool powers the Aviator predictor, Aviator predictor app, and aviator crash predictor. Available for desktop, it’s designed for research, fairness verification, and safe demo testing Demo-focused aviator predictor tools — seed-inspection helpers (SHA-512 / SHA-256), AI-assisted summaries, and demo bot templates for aviator crash predictor, Start in demo mode to test safely. Disclaimer: Provided for analytical and testing purposes only. No predictive...
