# Wave Whiz — Finding scales in complexity

> Finding scales in complexity (iPhone/iPad app by Saiftron Inc..)

- Source: https://appshunter.io/ios/app/wave-whiz/id1358123141 (this page in markdown: same URL + `.md`)
- Developer: [Saiftron Inc.](https://appshunter.io/developer/1317303332)
- Category: Education
- Price: Free
- Age rating: 4+
- Requires: iOS 11.0 · 13 MB
- Languages: English
- Released: 2018-05-08
- Data updated: 2026-06-10
- User reviews in markdown: https://appshunter.io/ios/app/wave-whiz/id1358123141/reviews.md

## What is Wave Whiz?

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.

Demo Video:

https://www.youtube.com/watch?v=1DIiNyZj_MQ


## Version history (last 5 releases)

### 1.3.1 — 2021-03-15

Fixed a crash on the in-app purchase screen

### 1.3 — 2020-03-06

Fixed bugs pertaining to smart menu centering, improved overall look/feel of smart menu.

### 1.2 — 2018-09-27

Upgraded for iOS 12, added functionality to export input data, fixed bugs

### 1.01 — 2018-05-06

Bug fixes

### 1.0 — 2018-05-02

No release notes.

## More apps by Saiftron Inc.

- [ECG Wiz](https://appshunter.io/ios/app/ecg-wiz/id1317303333)

All apps by Saiftron Inc.: https://appshunter.io/developer/1317303332

---

*Data collected daily from the US App Store and indexed by [AppsHunter](https://appshunter.io/). User reviews are verbatim App Store reviews. Ratings, prices and chart positions refresh continuously; this snapshot is from 2026-06-10.*