Search Results for "signal"
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Showing 28 open source projects for "signal"
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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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Must Reading on ISAC
Must Reading Papers, Research Library, Open-Source Code
A design paradigm and corresponding enabling technologies, in which sensing and comms systems are integrated to efficiently utilize congested wireless/hardware resources, and even to pursue mutual benefits. Waveform Design and Signal Processing Aspects for Fusion of Wireless Communications and Radar Sensing. Supported by IEEE ComSoc ISAC Emerging Technology Initiative (ETI). Integrating Sensing and Communications for Ubiquitous IoT. Include reproducible codes, good papers and a research libary. -
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Armadillo
fast C++ library for linear algebra & scientific computing
* Fast C++ library for linear algebra (matrix maths) and scientific computing * Easy to use functions and syntax, deliberately similar to Matlab / Octave * Uses template meta-programming techniques to increase efficiency * Provides user-friendly wrappers for OpenBLAS, Intel MKL, LAPACK, ATLAS, ARPACK, SuperLU and FFTW libraries * Useful for machine learning, pattern recognition, signal processing, bioinformatics, statistics, finance, etc. * Downloads: http://arma.sourceforge.net/download.html * Documentation: http://arma.sourceforge.net/docs.html * Bug reports: http://arma.sourceforge.net/faq.html * Git repo: https://gitlab.com/conradsnicta/armadillo-code -
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Octave Forge
A collection of packages providing extra functionality for GNU Octave
Octave Forge is a central location for collaborative development of packages for GNU Octave. The Octave Forge packages expand Octave's core functionality by providing field specific features via Octave's package system. See https://octave.sourceforge.io/packages.php for a list of all available packages. GNU Octave is a high-level interpreted language, primarily intended for numerical computations. It provides capabilities for the numerical solution of linear and nonlinear problems, and... -
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slab3d
slab3d is a real-time virtual acoustic environment.
slab3d is a real-time virtual acoustic environment rendering system. It includes two rendering applications, libraries for spatial auditory display and audio signal processing development, and a set of tools for HRTF analysis and visualization. -
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coDDMaker
distributions and co-distribution 2D signal analysis
coDDMaker is a MATLAB® App Designer's software program for the guided analysis of the distributions and co-distribution of marker pairs in 2D image. -
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DDMaker
Local Distribution Density Map Maker
DDMaker perform local density analysis and generates pseudocolor maps of the spatial distribution of imaged cellular structures in 2D images, starting from either RGB color, grey level or binary images. DDMaker local density analysis permit to selectively denoise the signal, visualize and quantify its distribution and threshold the image basing on local density. -
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An alignment-free standalone tool with interactive graphical user interface for DNA sequence comparison and analysis
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MAT-MECAS
Cell impedance analysis software.
...The calculations are based on a FFT deconvolution procedure and on approximation of the reconstructed currents with a theoretical function. The impulse response of the signal path is necessary for the calculations. Read manual first! For testing MAT-MECAS we provide a sample data along with sample stimulation protocols. -
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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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MRiLab
A Numerical MRI Simulation Platform
The MRiLab project is moving to GitHub, the latest version can be obtained from https://leoliuf.github.io/MRiLab/ The MRiLab is a numerical MRI simulation package. It has been developed and optimized to simulate MR signal formation, k-space acquisition and MR image reconstruction. MRiLab provides several dedicated toolboxes to analyze RF pulse, design MR sequence, configure multiple transmitting and receiving coils, investigate magnetic field related properties and evaluate real-time imaging technique. The main MRiLab simulation platform combined with those toolboxes can be applied to customize various virtual MR experiments which can serve as a prior stage for prototyping and testing new MR technique and application. ... -
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KMBOX - Kernel Methods Toolbox
A collection of kernel-based algorithms for Matlab.
KMBOX is a collection of MATLAB programs that implement kernel-based algorithms, with a focus on regression algorithms and online algorithms. It can be used for nonlinear signal processing and machine learning. -
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Vibrato Toolbox
Vibrato Toolbox: Parametric Analysis of Musical Vibrato
Vibrato Toolbox: Parametric Analysis of Musical Vibrato from High-Precision Magnitude/Frequency Tracking Mingfeng Zhang ECE, Univ. of Rochester Part I Analysis of individual music tones This MATLAB toolbox provides signal analysis tools for time-frequency analysis and for parametric analysis of musical vibrato Part II Analysis of multiple music tones or multiple harmonic partials This toolbox allows you to explore a group of audio files, and obtains its related parameters of musical vibrato. [Installation] see more details in the readme files in the zip files... -
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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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RFlex
Spectroradiometer control for shipborne reflectance measurements
Spectroradiometer control for autonomous reflectance measurements from moving vessels. The software incorporates GPS signal parsing, control of the sensor platform viewing angle (stepper motor control), sensor triggering and data recording. Continue to the download section for the latest release information Rrs data processing code (the 'fingerprint technique') is also available - but moved to my github page: https://github.com/StefanSimis -------- Oct 2014: a beta version is available (20141006) Sep 2014 news: The latest version is 20140723, addressing some bugs. ... -
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METAlab GTG
Matlab toolbox to run a GLM on graph theoretic properties in MRI data
...The toolbox also provides a data processing path for resting state fMRI data. Several options for partialing nuisance signals are available, including local and total white matter signal (Jo et al., 2013), calculation of Saad et al. (2013)'s GCOR, and the use of Chen et al. (2012) GNI method to determine whether global signal partialing is needed. In addition, Power et al. (2014)'s motion scrubbing method is available. -
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Kernel Adaptive Filtering Toolbox
a Matlab benchmarking toolbox for kernel adaptive filtering
...If you use this toolbox in your research please cite: @inproceedings{vanvaerenbergh2013comparative, author = {Van Vaerenbergh, Steven and Santamar{\'i}a, Ignacio}, booktitle = {2013 IEEE Digital Signal Processing (DSP) Workshop and IEEE Signal Processing Education (SPE)}, title = {A Comparative Study of Kernel Adaptive Filtering Algorithms}, year = {2013}, note = {Software available at \url{https://github.com/steven2358/kafbox/}} } -
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Virtual Sound Level Meter
Virtual Sound Level Meter for analyzing calibrated sound files
...The software implements Fast, Slow, Impulse and LEQ; A, C and Flat Weighting; Ln and Noise Dose analysis; Octave and 1/3 Octave band analysis; high resolution FFT analysis and spectrograms. Band analysis can be made using fast FFT methods or slower, but ANSI standard methods. Source code requires MATLAB + Signal Processing Toolbox. Developed under MATLAB R2010a (but might work with some earlier versions) Executable version does not require MATLAB and runs under Windows XP, Vista, and Windows 7. -
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sigTOOL provides a user-extendable signal analysis environment for processing electrophysiological data within MATLAB. Neuron spike-train, + spectral and time-domain analyses are built in. See http://dx.doi.org/10.1016/j.jneumeth.2008.11.004
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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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A MATLAB-based software package for microbiological research designed to detect and outline bacterial cells in microscopy images and to analyze fluorescence signal inside them.
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The CASP (Computational Auditory Signal Processing and Perception) model accounts for various aspects of simultaneous and non-simultaneous masking in human listeners. The model is implemented in the Matlab / Octave scripting language.
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This project is aimed at analysis of the bat's cochlear model for its echo location performance. It uses DSP and statistical/stochastic signal processing theory. Language: Matlab and C/C++
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This program has been written having in mind to create an useful tool to evaluate the Motor Evoked Potentials (MEPs) generated by Transcranial Magnetic Stimulation (TMS) and recorded with the program "Signal" (version 2.xx).
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AutoSmooth is a compiled stand-alone graphical interface for signal and derivative extraction from time series with nonstationary noise structure. AutoSmooth is now part of the Signal Extraction Toolbox (SET).
