Wave Whiz was an overall app developed by Saiftron Inc.. It was removed from Google Play Jul 24, 2024 and is no longer available for download.
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App Information
Wave Whiz was free to download. The APK download size was 13.34 MB. The last available version was 1.3.1. The last update was on March 15, 2021.
Technical Requirements
The app had a content rating of Everyone. The app had been available on Google Play May 2018.
Description
Wave Whiz (Wavelet Wizard) is an efficient, versatile, and fully interactive iOS App that can robustly compute the maximal overlap discrete wavelet transform (MODWT) of one-dimensional (1D) signals utilizing 25 different wavelet and scaling filters (for example, Haar, Daubechies DB4, and Least Asymmetric LA8).
Any 1D signal can be loaded into the App from a digital signal file or via an input console where the signal values can be typed in or pasted.
The App allows users to undertake a MODWT-based wavelet analysis for decomposing an input signal into wavelet and scaling coefficients. The App can also accomplish a wavelet multiresolution analysis (MRA) to deconstruct an input signal into linearly additive wavelet details and smooth. Additionally, users can apply a hard thresholding method on the MRA details for denoising a signal. Furthermore, users can estimate multiscale VAR of a signal via the various wavelet coefficients. Finally, the App provides a dictionary feature, whereby users can review and examine all the 25 wavelet/scaling filters and their respective squared gain functions.
A user-friendly tab menu in conjunction with a smart control panel enables users to undertake various MODWT-based analyses. Users can eyeball all wavelet sub-series and wavelet-related data via fully interactive zoomable and scrollable charts. The App produces high-fidelity charts that are updated in real-time as various analysis parameters like type of filter and number of decomposition levels are changed/adjusted via the smart control panel.
Users can save all wavelet analysis data locally on their devices and/or export it through email, iCloud, or third-party Apps like Dropbox. This feature allows users to seamlessly transfer all processed data from the App to other devices/platforms where they can review it and perform further analyses as required. Moreover, this functionality also enables users to share their wavelet analysis data with their colleagues/peers.
The free version of the App includes 10 tester files that users can load, visualize, and analyze. Users can also save and/or export all processed information using the free version of the App.
In Wave Whiz’s paid version, users can load/analyze their own signals and save/export all results.
Each subscription will automatically renew 3 days before the expiration date for
the same time period. Subscriptions can be cancelled at any time before the renewal.
