fo-Kannon Lite
Detailed App Info:
Application Description
"fo-Kannon Lite" is a real-time spectrum audio analyzer (RTA) app for the iPhone.
This app is a version that is optimized for the iPhone based on the "fo-Kannon" iPad app adopting a signal processing algorithms with high accuracy.
"fo-Kannon Lite" uses the Fast Fourier Transform (FFT) to analyze incoming audio signals and provides a precision frequency response measurement and spectral visualization. In the frequency range of 20kHz from 20Hz, the response of the measurement frequency can be displayed in the logarithmic scale or 30 split band scale of 1/3 Octave.
"fo-Kannon Lite" is available in a variety of applications, such as room tuning, speaker test, audio equipment test, stage setting measurement and evaluation of sound mixing environment.
TOON,LLC is a company that seeks the comfort of sound environment based on our acoustic proprietary technology, and we will provide tools for audio professional, sound technology, home theater installer, and anyone who loves audio.
Features:
-High performance software design for Real Time Spectrum Audio Analyzing.
-FFT: 4096 points/frame.
-Sampling Rate:44.1KHz/sample(maximum measurements frequency: 20KHz).
-Frequency Display mode includes, logarithmic scale and 30 split band scale of 1/3 Octave. (MODE)
-Logarithmic amplitude display: 60dB/band-width
-Tracing function of peak amplitude.
-Pan to adjust visible amplitude ranges (RANGES:+20dB/0dB/-20dB/-40dB/-60dB)
-Display Pause function. (PAUSE)
-Input signal monitor function.(MONITOR)
-Supports built-in microphone, headset microphone, and external digital audio connection.
NOTE:
The microphone via the headset or built-in microphone of the iOS device, pass through a high-pass filter to attenuate significantly the low-frequency signal components.
We recommend that you use a measurement microphone that connects via the Dock connector or USB audio interface.
This app is a version that is optimized for the iPhone based on the "fo-Kannon" iPad app adopting a signal processing algorithms with high accuracy.
"fo-Kannon Lite" uses the Fast Fourier Transform (FFT) to analyze incoming audio signals and provides a precision frequency response measurement and spectral visualization. In the frequency range of 20kHz from 20Hz, the response of the measurement frequency can be displayed in the logarithmic scale or 30 split band scale of 1/3 Octave.
"fo-Kannon Lite" is available in a variety of applications, such as room tuning, speaker test, audio equipment test, stage setting measurement and evaluation of sound mixing environment.
TOON,LLC is a company that seeks the comfort of sound environment based on our acoustic proprietary technology, and we will provide tools for audio professional, sound technology, home theater installer, and anyone who loves audio.
Features:
-High performance software design for Real Time Spectrum Audio Analyzing.
-FFT: 4096 points/frame.
-Sampling Rate:44.1KHz/sample(maximum measurements frequency: 20KHz).
-Frequency Display mode includes, logarithmic scale and 30 split band scale of 1/3 Octave. (MODE)
-Logarithmic amplitude display: 60dB/band-width
-Tracing function of peak amplitude.
-Pan to adjust visible amplitude ranges (RANGES:+20dB/0dB/-20dB/-40dB/-60dB)
-Display Pause function. (PAUSE)
-Input signal monitor function.(MONITOR)
-Supports built-in microphone, headset microphone, and external digital audio connection.
NOTE:
The microphone via the headset or built-in microphone of the iOS device, pass through a high-pass filter to attenuate significantly the low-frequency signal components.
We recommend that you use a measurement microphone that connects via the Dock connector or USB audio interface.
Requirements
Your mobile device must have at least 968.69 KB of space to download and install fo-Kannon Lite app. fo-Kannon Lite is available on iTunes for $2.99
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 TOON,LLC at http://www.toon-llc.com/support/index_en.html.
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