kSpectra for Android
- REQUIRES ANDROID | Published by SpectraWorks on 2020-12-04 | Category: Education
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$ $99.99
- REQUIRES ANDROID | Published by SpectraWorks on 2020-12-04 | Category: Education
kSpectra is a Education app by SpectraWorks. kSpectra is a scientific application for advanced time series analysis. It 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.
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APK (Android Package Kit) files are the raw files of an Android app. Learn how to install kspectra.apk file on your phone in 4 Simple Steps:
Yes. We provide some of the safest Apk download mirrors for getting the kSpectra apk.
1. The basic philosophy of kSpectra 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.
2. It 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.
3. kSpectra 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).
4. kSpectra helps to identify and predict periodic signals in noisy and short and gappy time series, when standard methods (FFT/wavelets etc) have limited applicability.
5. The user typically needs to import the input 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.
6. kSpectra is a scientific application for advanced time series analysis.
7. It is a project-based application, and allows to save all the data, results and plots in a singe project file.
8. frequencies) and significance tests against noise level from various spectral estimation methods (SSA, MTM, MEM, BT- FFT).
9. kSpectra supports data I/O in ASCII, CSV and Matlab formats.
10. - gap-filling technique for analysis of datasets with missing data.
11. The results of kSpectra are mainly plots of spectrograms (power vs.
Apk Mirror 1: : Download APK
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