How to Delete Sound Oscilloscope Completely

Table of Contents:

1. Delete via Email
2. Delete on iphone
3. Delete on android

Reading time: 47 seconds

Data Sound Oscilloscope collects from your device

1. record audio
2. view Wi-Fi connections
3. view network connections
4. full network access

1. Delete Sound Oscilloscope Account through Email

There are 2 methods to get your data (and account) deleted by Sound Oscilloscope:

1. Under GDPR: EU/UK Residents have the right to ask (via email), an organization that holds data about them to delete it. This is known as the ‘right to erasure’. Organizations have one month to respond to the request.


2. Under CCPA: California residents have the right to request that a company delete the data/personal information it has on them. A failure to comply with this will result in a fine of upto $7,500.

Now you understand what the Law says, Send your Request directly to Sound Oscilloscope using the form below:

Alternatively, you can follow these steps below to get Sound Oscilloscope to delete your account/data:

1. To delete your Sound Oscilloscope account, contact Sound Oscilloscope via email and provide the reasons for your request.
2. Mention the law under which you make your request (GDPR or CCPA).
3. Notify Sound Oscilloscope of the penalty for non-compliance - A $7,500 fine under CCPA and 4% of annual turnover under GDPR.
4. Send the email to Denis.Bolshoiden@redacted... Login to see email.

2. How to Delete Sound Oscilloscope on Iphone

1. On iphone, Goto "Settings "
2. Click on "General" » "Iphone Storage".
3. Select the app, and click "Delete Sound Oscilloscope".

3. Delete Sound Oscilloscope on Android phone

1. Go to your Android phone Settings.
2. Click on "Apps & Games".
3. Select "Sound Oscilloscope" and Click "Uninstall".

1. This program turns your device into a simple oscilloscope function of the spectrum analyzer, signal source is the microphone input of your device.

2. You can take a picture signal by moving the program mode pause and examine in greater detail the form and spectrum of individual sections of the signal.

3. With this program you will be able to compare the level of noise (sound) in different areas or from different sources, as well as to determine the spectrum of audio signals.

4. The spectrum of the signal is determined using FFT.

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