LM AUDIO vs TB GonioMeter

After connecting App to Car Amplifier with Integrated DSP,  EQ, BASS, 3D SOUND,TIME ALIGNMENT, PHASE, MUTE, FILTER , SAVE SOUND SETTING TO PHONE, SAVE SOUND SETTING TO AMPLIFIER, LOAD SOUND SETTING FROM PHONE, RCA OUTPUT etc could be controlled through this App. How to use: 1.Install App and turn on power of car 2. Turn on Bluetooth on your iPhone 3,Open App and wait for around 5 seconds, then click “Connect” icon in left corner of bottom. Amplifier will be connected to App automatically. 4.DIY you preferred sound and then click “Save to AMP” icon to save. Or click “ Save to Phone” to save.   Note： 1.Do not exit app during saving and do not turn off power supply, program may be shut down caused by this.

ToneBoosters GonioMeter is a one-stop stereo image analysis AUv3 plug-in. Easily identify stereo image imbalance or frequency ranges with negative correlation. Ensure that the content you create is of high quality and mono down-mix compatible, an essential requirement for mobile entertainment! The ToneBoosters GonioMeter stand-alone app captures the microphone input and processes the signals in real time. Since most iOS devices only have mono microphone capabilities, we strongly suggest to use the integrated AUv3 plug-in (app extension) version instead. To use it as a plug-in, use an AUv3-compatible host app such as Steinberg Cubasis, Apple Garageband, Audio Evolution Mobile Studio, Auria, AUM, or others. ToneBoosters GonioMeter will appear in the list of Audio Unit extensions for effect plug-ins. Key features: - Real-time goniometer to inspect stereo image waveforms - Real-time correlation meter and correlation spectrum meter - Real-time stereo balance an stereo balance spectrum meter - Color themes for the user interface - Max screen support in Garageband - Optimised for iPad and compatible with iPhone and iPod Touch What you should know: - Licenses acquired for this platform are not compatible with other platforms. - Audio Unit (AUv3) extensions require an iPad mini 2, iPad 4 or later models.