Search Results for "wavelet"

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....

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.

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.

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.

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...

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.

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/ .

...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.

A MATLAB package for wavelet analysis of circadian rhythms with both discrete (Daubechies) and continuous (Morlet) wavelets, as well as tools for batch processing of multiple time series, all accessible through a graphical user interface.

Adaptive Wavelet Applications on general domains - the goal still far away. But the first step is done. This project aims at introducing wavelet methods realized in C++. As building block it uses FLENS.

Continuous wavelet transform library

wxMorlet implements the new algorithm (see "Documentation") for the computation of the continuous wavelet transform with the Morlet wavelet. wxMorlet calculates it as a numerical solution of the proper PDE and represents the results in a graphical form

hbstock is a stock selector frame that written in c++,it can be used for all stock market in the world,example Nasdaq and China Market(it's only need a dataloader of this market). It can be easy to add neural network,wavelet tool to do stock selecting.

Feature extraction toolkit based on a wavelet multiscale vision model. Includes 1D signal processing sample application for line identification and classification of astronomical spectra.

ObjC framework for mathematical operations. Various DSP (inc. FFT + wavelet), statistical operations and more on vector and array types. Optimized for SIMD and multi-threading where possible.