kSpectra Lite
Detailed App Info:
Application Description
kSpectra Lite is a scientific application for advanced time series analysis. It is a "Lite" version of fully featured kSpectra app also available in App Store.
kSpectra Lite provides a set of powerful tools for analysis of univariate or multivariate time series in various sciences, ranging from electrical engineering and physics to geophysics, as well as life, biomedical sciences, finance and economics. kSpectra Lite helps to identify and predict periodic signals in noisy and short and gappy time series, when standard methods (FFT/wavelets etc) have limited applicability. kSpectra Lite contains procedures for:
- estimating the spectrum, cross-spectrum and coherence,
- decomposing the time series into trends, oscillatory components, and noise by using sophisticated statistical significance tests,
- reconstructing and predicting the contributions of trends and near-periodic components of the time series,
- gap-filling technique for analysis of datasets with missing data.
kSpectra Lite includes Blackman-Tukey Correlogram (BT-FFT), Maximum-Entropy Method (MEM), MultiTaper Method (MTM), Singular Spectrum Analysis (SSA), multichannel SSA (MSSA), and Principal Component Analysis (PCA). The basic philosophy of kSpectra (Lite) is that only the simultaneous and flexible application of more than one spectral estimation method can provide truly reliable information on a given time series, when the signal-to-noise ratio is low.
The results of kSpectra Lite are mainly plots of spectrograms (power vs. frequencies) and significance tests against noise level from various spectral estimation methods (SSA, MTM, MEM, BT- FFT). The user typically needs to import the data by using Data I/O panel into named data objects (Vectors or Matrices), and then apply different spectral estimation tools; each tool has it’s own panel of GUI. The user’s task is to interpret obtained spectrograms for presence of oscillatory modes. The spectrograms can be saved in PDF or EPS format.
kSpectra Lite supports data I/O in ASCII, CSV and Matlab formats. It is a project-based application, and allows to save all the data, results and plots in a singe project file.
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Please note that when kSpectra Lite is first installed, the following features are part of Enhanced Functionality and are available ONLY on 10.7+ via in-App Purchase by using Upgrade menu option:
- Time-domain Reconstruction by SSA, MTM, MSSA and PCA.
- SSA and MSSA Prediction
- Missing Data Analysis by SSA and MSSA Gap-Filling
- Saving Project Files and Data
- Related Automator Actions
Enhanced functionality is supported in a fully featured kSpectra app in App Store (available for 10.6+).
Before Upgrading or buying a fully featured kSpectra app from App Store, user can test Enhanced Functionality on data in downloadable Example Projects at http://www.spectraworks.com/web/examples.html
kSpectra Lite provides a set of powerful tools for analysis of univariate or multivariate time series in various sciences, ranging from electrical engineering and physics to geophysics, as well as life, biomedical sciences, finance and economics. kSpectra Lite helps to identify and predict periodic signals in noisy and short and gappy time series, when standard methods (FFT/wavelets etc) have limited applicability. kSpectra Lite contains procedures for:
- estimating the spectrum, cross-spectrum and coherence,
- decomposing the time series into trends, oscillatory components, and noise by using sophisticated statistical significance tests,
- reconstructing and predicting the contributions of trends and near-periodic components of the time series,
- gap-filling technique for analysis of datasets with missing data.
kSpectra Lite includes Blackman-Tukey Correlogram (BT-FFT), Maximum-Entropy Method (MEM), MultiTaper Method (MTM), Singular Spectrum Analysis (SSA), multichannel SSA (MSSA), and Principal Component Analysis (PCA). The basic philosophy of kSpectra (Lite) is that only the simultaneous and flexible application of more than one spectral estimation method can provide truly reliable information on a given time series, when the signal-to-noise ratio is low.
The results of kSpectra Lite are mainly plots of spectrograms (power vs. frequencies) and significance tests against noise level from various spectral estimation methods (SSA, MTM, MEM, BT- FFT). The user typically needs to import the data by using Data I/O panel into named data objects (Vectors or Matrices), and then apply different spectral estimation tools; each tool has it’s own panel of GUI. The user’s task is to interpret obtained spectrograms for presence of oscillatory modes. The spectrograms can be saved in PDF or EPS format.
kSpectra Lite supports data I/O in ASCII, CSV and Matlab formats. It is a project-based application, and allows to save all the data, results and plots in a singe project file.
---------------------------------------------
Please note that when kSpectra Lite is first installed, the following features are part of Enhanced Functionality and are available ONLY on 10.7+ via in-App Purchase by using Upgrade menu option:
- Time-domain Reconstruction by SSA, MTM, MSSA and PCA.
- SSA and MSSA Prediction
- Missing Data Analysis by SSA and MSSA Gap-Filling
- Saving Project Files and Data
- Related Automator Actions
Enhanced functionality is supported in a fully featured kSpectra app in App Store (available for 10.6+).
Before Upgrading or buying a fully featured kSpectra app from App Store, user can test Enhanced Functionality on data in downloadable Example Projects at http://www.spectraworks.com/web/examples.html
Requirements
Your mobile device must have at least 17.95 MB of space to download and install kSpectra Lite app. kSpectra Lite was updated to a new version. Purchase this version for $9.99
If you have any problems with installation or in-app purchase, found bugs, questions, comments about this application, you can visit the official website of SpectraWorks Dmitri Kondrashov at http://www.spectraworks.com/web/welcome.html.
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