Search Results for "wavelet"
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Showing 40 open source projects for "wavelet"
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Wavelets.jl
A Julia package for fast discrete wavelet transforms and utilities
A Julia package for fast wavelet transforms (1-D, 2-D, 3-D, by filtering or lifting). The package includes discrete wavelet transforms, column-wise discrete wavelet transforms, and wavelet packet transforms. 1st generation wavelets using filter banks (periodic and orthogonal). Filters are included for the following types: Haar, Daubechies, Coiflet, Symmlet, Battle-Lemarie, Beylkin, Vaidyanathan. 2nd generation wavelets by lifting (periodic and general type including orthogonal and biorthogonal). ... - 2
Sherloq
An open source digital image forensic toolset
Sherloq is a research-oriented toolkit designed for digital image forensics, providing an integrated environment to experiment with algorithms for image analysis and tampering detection. Rather than functioning as an automated decision-making system, it serves as a companion tool for researchers, enthusiasts, and students who want to explore forensic techniques from scientific literature and workshops. The project emphasizes transparency and community collaboration, contrasting with... - 3 A implementation of the mathematical model of the human ear described in the Benedetto and Teolis paper.
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libPGF
libPGF is an implementation of the Progressive Graphics File (PGF)
The Progressive Graphics File (PGF) is an efficient image file format, that is based on a fast, discrete wavelet transform with progressive coding features. PGF can be used for lossless and lossy compression. It's most suitable for natural images. PGF can be used as a very efficient and fast replacement of JPEG 2000. - 6
WaveletStat
Wavelet analysis of 1D and 2D statistical distributions
This is WaveletStat, a scientific software to analyse statistical distributions by Continuous Wavelet Transforms (CWTs). Taking an input random sample, it computes the corresponding CWT, filters out the noise based on a p-value criterion, and reconstructs a denoised model of the density function by matching pursuit iterations. The C++ code has two branches: the 1D branch can be used on 1D distributions only, while 1D2D can be used both on 1D and 2D distributions (though less optimal on 1D). ... - 7
VStar
Multi-platform Variable Star Visualisation and Analysis
VStar is a multi-platform, easy-to-use variable star observation visualisation and analysis tool. Data can be read from a file or the AAVSO database, light curves and phase plots created, period analysis performed, and filters applied. Plugins can be developed, e.g. to make additional observation sources available. See also: 1. http://www.aavso.org/vstar-overview 2. http://www.aavso.org/forums/about-aavso/vstar 3. http://dbenn.wordpress.com/category/astronomy-science/vstar 4.... - 8
karkinos
Tumor genotyper for Exome sequence that detects SNV,CNV, aTumor purity
karkinos is tumor genotyper which detects single nucleotide variation (SNV), integer copy number variation (CNV) and calculates tumor cellularity from tumor-normal paired sequencing data. Accurate CNV calling is achieved using continuous wavelet analysis and multi-state HMM, while SNV call is adjusted by tumor cellularity and filtered by heuristic filtering algorithm and Fisher Test. Also, Noise calls in low depth region are removed using EM algorithm. - 9
wavelib
C Implementation of Wavelet Transform (DWT,SWT and MODWT)
...For signals of other lengths see MODWT implementation. MODWT/IMODWT Maximal Overlap Discrete Wavelet Transform is another undecimated transform. It is implemented for signals of any length but only orthogonal wavelets (Daubechies, Symlets and Coiflets) can be deployed. This implementation is based on the method laid out in "Wavelet Methods For Wavelet Analysis" by Donald Percival and Andrew Walden. Documentation Available at - https://github.com/rafat/wavelib/wiki - Try Google Cloud Risk-Free With $300 in CreditUse your credit across every product. Compute, storage, AI, analytics. When it runs out, 20+ products stay free. You only pay when you choose to.
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wmtsa-python
Discrete wavelet methods for time series analysis using python
Several python libraries implement discrete wavelet transforms. However, none of them, or at least none that I know, is aimed at scientific use. This library aims at filling this gap, in particular considering discrete wavelet transform as described by Percival and Walden. This module started as translation of the wmtsa Matlab toolbox (http://www.atmos.washington.edu/~wmtsa/), so most naming conventions and most of the code structure follows their choices. - 11
GPS Interactive Time Series Analysis
A software for processing and analyzing time series in Earth Science
Along with calculating basic statistics and quality parameters such as mean and variance, the soft-ware is capable of importing and visualizing different standard time series formats, determining and removing jumps and outliers, and makes numerical and publication quality graphical outputs. Bivariate statistical analysis (including correlation coefficient and linear regression) and time series analysis (including auto and cross-spectral analysis, wavelet power spectrum, spectrogram and periodicities) form the main analysis features of the software. - 12
WaMoFi
Wa[velet] Mo[tif] Fi[nder]
WaMoFi: Is a method for finding protein motifs using the stored information from statistical contact potentials (aaindex) and the a representation by the continuous wavelet transform. Please use: R 3.1.0 and Matlab 2014 How to use: Just replace the directory and files In the head of the WaMoFi.m script. Then, run it in a matlab console. --dataset: your data set in a fasta file --labels: a file with the label/class per line --percTest: how much of the test will be used for finding the motifs?. ... - 13
wavepack
Fast nD wavelet packet C library
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pyLwt
Liftng wavelet program built using python and g++
This is a lifting wavelet program running in Windows7 and Ubuntu10.04.4, It is a mix program of Python and C++. The GUIs are built using Python, and the core algorithms of wavelet are built using standard C++. Notes: 1. To run this program, you should sure that the following dependent packages are installed in your computer: ctypes, wxPython, PIL, and NumPy? - 15
pywt
wavelet program built using python and g++
This is a wavelet program running in Windows7 and Ubuntu10.04.4, It is a mix program of Python and C++. The GUIs are built using Python, and the core algorithms of wavelet are built using standard C++. Notes: 1. To run this program, you should sure that the following dependent packages are installed in your computer: ctypes, wxPython, PIL, and NumPy? - 16
Fast Matrix for Java
General purpose matrix utilities for Java in Parallel Computing
Fast Matrix for Java (fm4j) is a general-purpose matrix utility library for computing with dense matrices. fm4j encapsulated different underlying implementations and select the optimal one in run-time depending on the size of the input matrix. Moreover, fm4j employs Java (Tm) Concurrency to take advantage of the computation power of multi-cor processors. - 17 KYM is a MATLAB / GNU Octave set of functions that implements a wavelet-based automated procedure of quantification and characterization of biological signals. In particular it has been thought for the analysis of the oscillatory component of cytosolic calcium concentration time course.
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WaveSorter
A powerful, versatile tool for offilne spike analysis and sorting
WaveSorter emphasizes dynamic visualization and versatility. Slider controls let the user select any coefficient or sample from any of several transforms, which can then be plotted to either axis of a 2D histogram (scatterplot). Within the waveform space, cursor-based controls let the user select subregions of the waveform space or individual waveforms to view. The user may cluster waveforms manually or via one of several popular clustering programs. The classification along with waveform... - 19 This is the code used in the experiments of the following paper: Xiaokui Xiao, Guozhang Wang, Johannes Gehrke: Differential Privacy via Wavelet Transforms. IEEE Trans. Knowl. Data Eng. 23(8): 1200-1214 (2011). Please cite the paper if you choose to use the code.
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smooth
Wavelet smoothing in a data stream
It is often necessary to smooth high frequency fluctuations out of data streams sequenced by time, position, etc. The 'smooth' utility applies such smoothing using the wavelet algorithm. This implementation of wavelet smoothing was optimized for use in a data stream. It was adapted from HMMSeg Wavelet.Java by Thomas E. Wilson, University of Michigan. HMMSeg Wavelet.Java was written by Andrew Hemmaplardh, University of Washington. http://noble.gs.washington.edu/proj/hmmseg/ Unsupervised segmentation of continuous genomic data, Bioinformatics 2007 23:1424-1426 See the above references for a more thorough description of the principles behind wavelet smoothing. - 21
MolBioLib
C++11 framework for rapid develop and deploy of bioinformatic tasks.
...MolBioLib includes programs to perform a wide variety of analysis tasks such as computing read coverage, annotating genomic intervals, and novel peak calling with a wavelet algorithm. While MolBioLib was designed primarily for bioinformatics purposes, much of its functionality is applicable to a wide range of problems. Complete documentation and an extensive automated test suite are provided. This package assumes fluency in both UNIX and C++. - 22
blitzwave
C++ wavelet library
blitzwave is a c++ wavelet library building on the blitz++ array classes. NOTE: blitzwave has moved to GitHub - the new project URL is http://github.com/oschulz/blitzwave/ . - 23
jpxdec
jpxdec is open-source scanline jpeg2000 decoder library written in C
jpxdec is open-source scanline jpeg2000 decoder library written in C, which utility implements the continuous tone image compression spec, also known as ISO/IEC 15444 (JPEG 2000 Standard). FEATURES: 1. Scan lines decoding and row-based wavelet transform. 2. Use fix-point to achieve high performace. 3. Memmory management support. 4. Stream-based input decoding. 5. Automatically colospace convert support. 6. Support basic 5 progression order.(LRCP,RLCP,RPCL,PCRL,CPRL) http://code.google.com/p/jpxdec/ Email: secular_wheel@163.com - 24 Implements Lazy Wavelet Transform with Lifting in several variants: 1-D, 2-D, 3-D, integer precision, etc. Sample video compressor, integrated with FFmpeg. OpenCL version is created.
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Electrophysiology & circular stats tools
Data analysis and circular statistics with OpenElectrophy and R
...The Python classes show how to call OpenElectrophy functions and save data. The R library applies circular statistics to spike phase data and saves the best von Mises fit and the Rayleigh statistics on the disk. The wavelet coherence analysis is done in R by the package "sowas". Check the module R_coherence to see how we solved that problem. This packages may be useful for people who start using OpenElectrophy and circular statistics in R. If you find errors, please report them. The project is still in development, so in the future you'll get updates.
