Search Results for "signal processing" - Page 2
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Showing 50 open source projects for "signal processing"
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blind-watermark
Blind&Invisible Watermark, image blind watermark, extract watermark
Blind Watermark is a Python library for embedding hidden information inside images and recovering it without the original source image. It uses a DWT-DCT-SVD signal-processing pipeline to place watermarks with minimal visible change. Watermarks can contain text or raw bit arrays and may be protected with separate image and watermark passwords. The package provides both a Python API and command-line interface for embedding and extraction. Its examples evaluate recovery after rotation, cropping, masking, resizing, noise, cuts, and brightness changes. ... -
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newlearnerspermit
C for programmable guitar amp
This project experiments with C language to discover and design a programmable guitar amplifier effects micro controller computer section of a tube and solid state designed guitar amp. This a collaboration electronics project with my son. The goal of this project is to use Arduino hardware with C language programming to manipulate the guitar signal by various effects of phaser, flanger, reverb, digital delay and echo, and tremelo. Also, the signals of two microphones, two guitars, and... -
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PyCBC
Learn how to use PyCBC to analyze gravitational-wave data
PyCBC is a software developed by a collaboration of LIGO, Virgo, and independent scientists. It is open source and freely available. We use PyCBC in the detection of gravitational waves from binary mergers such as GW150914. These examples explore how to analyze gravitational wave data, how we find potential signals and learn about them. Many of these tutorials will require you to make edits to config files as part of their exercises. At the moment this isn't easy to do on services like... -
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DSP Lab
Digital Signal Processing Simulation
DSP Lab is a digital signal processing simulation application created to simulate and visualize process of sampling and filtering analog signal using DSP system. This application is created to provide as a tool for educator and student to visualize and understand DSP system. Source code is available at https://payhip.com/b/9mPY -
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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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Faust : signal processing language
Faust is a programming language for realtime audio signal processing
[UPDATE] The project has been moved to GitHub (https://github.com/grame-cncm/faust). Do not use this repository anymore ! FAUST (Functional Audio Stream) is a functional programming language specifically designed for real-time signal processing and synthesis. FAUST targets high-performance signal processing applications and audio plug-ins for a variety of platforms and standards. The Faust compiler translates DSP specifications into very efficient C++ code. Thanks to the notion of architecture, FAUST programs can be easily deployed on a large variety of audio platforms and plugin formats (jack, alsa, ladspa, maxmsp, puredata, csound, supercollider, pure, vst, coreaudio) without any change to the FAUST code. -
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LBSP
Real-Time Processing Library for OSHW Biomedical Sensors
Applications involving data acquisition from sensors need samples at a preset frequency rate, the filtering out of noise and/or analysis of certain frequency components. We propose a novel software architecture based on open-software hardware platforms which allows programmers to create data streams from input channels and easily implement filters and frequency analysis objects. The performances of the different classes given in the size of memory allocated and execution time (number of... -
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Accord.NET Framework
Machine learning, computer vision, statistics and computing for .NET
The Accord.NET Framework is a .NET machine learning framework combined with audio and image processing libraries completely written in C#. It is a complete framework for building production-grade computer vision, computer audition, signal processing and statistics applications even for commercial use. A comprehensive set of sample applications provide a fast start to get up and running quickly, and extensive documentation and a wiki help fill in the details. -
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WebDSP
A client-side signal processing library
WebDSP is a browser-based digital signal processing toolkit that leverages WebAssembly to perform high-performance audio and signal processing tasks directly within web applications. It is designed to bring real-time DSP capabilities to the browser, allowing developers to implement audio effects, filters, and transformations with low latency and high efficiency. The project provides a set of DSP primitives that can be composed into more complex processing pipelines, making it suitable for applications such as audio synthesis, analysis, and interactive sound design. ... -
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Swift AI
The Swift machine learning library
...The example projects are another great resource for seeing real-world usage of these tools. Swift AI currently depends on Apple's Accelerate framework for vector/matrix calculations and digital signal processing. -
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GTK+ IOStream
GTK+iostream, Data plots, ORB, Neural Networks, WSOLA
...You can also plot like so : Plot figure; figure.plot(x, y, x.size()); Plotting utilises GtkDataBox.sf.net ORB utilises www.zeroc.com Feed forward neural networks with different activation functions. Audio playback/recording and digital signal processing (DSP) - utilising Jack www.jackaudio.org -
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...The implementation of new algorithms is easy and intuitive. The new implemented units are then automatically integrated with the rest of the library. The base of available algorithms is steadily increasing and includes signal processing methods (Principal Component Analysis, Independent Component Analysis, Slow Feature Analysis), manifold learning methods ([Hessian] Locally Linear Embedding), several classifiers, probabilistic methods (Factor Analysis, RBM), data pre-processing methods, and many others.
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ApproxAdderLib
Library of Approximate Adders
...To the best of our knowledge, this is the first open-source library of approximate adders that facilitates reproducible comparisons and further research and development in this direction across various layers of design abstraction. This work is a result of collaborative effort between Chair for Embedded Systems (CES) at Karlsruhe Institute of Technology (KIT), Germany and Vision Image and Signal Processing (VISpro) Lab at SEECS-NUST, Pakistan. -
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jmathstudio - Java Image/Signal toolkit
Java toolkit for discrete Image and Signal processing.
JMathStudio is a Java based digital image and signal processing toolkit/library. It is simple to use, portable, light (~300 Kb), extendable and free. Full source code available at https://github.com/bhavyaajani/jmathstudio Android compatible JMathStudio is available @ https://sourceforge.net/projects/jmathstudio-android/ -
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Marsyas (Music Analysis, Retrieval and Synthesis for Audio Signals) is a framework for developing systems for audio processing. It provides an general architecture for connecting audio, soundfiles, signal processing blocks and machine learning. Source code at SF is outdated! Marsyas is now hosted at GitHub: https://github.com/marsyas/marsyas Downloads are now provided at Bintray: https://bintray.com/marsyas
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tiny-DSP library
small and fast library dealing with signal processing
Tiny-DSP library contains c sources of a fast, tiny, portable and generic FFT (Fast Fourier transform) and inverse FFT. Supported are all power of two sizes (like 2,4,8,16,32,...) for one and two dimensional floating point arrays. -
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...As mentioned before this software also capable do some image processing on scanned paper to lower the final costs.
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These classes are useful for signal processing in Matlab or C++. They bring together tools and methods which may be used interchangeably for Matlab and C++. Their initial use is in conjunction with work towards my degree at UC Berkeley.
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Java library containing classes for digital signal processing. Intended for use in audio software development.
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This project hosts tools used for analysis of Gaussian Mixture Distributions (GMDs) which are used for statistical signal processing. The tools are libraries for implementing GMD operations and programs used to analyze properties of GMDs.
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Digital Signal Processing Block Diagram Compiler - user extendable to all DSP's, but presently supports only the TI C2000 family. Rich support for fixed point arithmetic, both saturated and unsaturated. Block diagram entry is via TinyCAD (included).
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Framewave is a collection of popular image and signal processing routines designed to accelerate application development, debugging, and optimization on x86-class processor platforms.
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This library is a signal/slot API for Java 5.0 that uses annotations to mark the signals/slots. A subclass containing signal/slot enums, as well as methods to emit the signal to its slots, is generated automatically through annotation processing tool.
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libDSP is a C/C++ library of digital signal processing routines, including standard vector operations, digital filtering, and transforms.
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FreeSP is an infrastructure for programming platform-independend online signal processing applications. Ports to specific platforms (like DSPs and microcontrollers) are made by simply exchanging the freeSP System-module.
