


The table shows a most important technical characteristics of ASUS Strix Fusion 300
*Center channel headphone is received by averaging between left and right channels
Sensitivity headphone ASUS Strix Fusion 300

The sensitivity was calculated by data from the measuring stand HDM-X
Frequency response headphone ASUS Strix Fusion 300

Impedance headphone ASUS Strix Fusion 300

Electric phase headphone ASUS Strix Fusion 300

Frequency response of amplifier with constant output resistance from headphone ASUS Strix Fusion 300

Variation in frequency response with amplifiers with constant output resistance from headphone ASUS Strix Fusion 300

*Center channel is received by data averaging between the left and right channels
Frequency response with an amplifier with zero output resistance and raising of output resistance in low frequencies from headphone ASUS Strix Fusion 300

Variation in frequency response an amplifier with zero output resistance with raising-up of output resistance in low frequencies from headphone ASUS Strix Fusion 300

Perception of headphone frequency response curves of equal loudness ISO 226-2009 from headphone ASUS Strix Fusion 300

*Center channel is received by data averaging between the left and right channels
Impulse response headphone ASUS Strix Fusion 300

Impulse Response Envelope (ETC - Energy Time Curve) headphone ASUS Strix Fusion 300

Step response headphone ASUS Strix Fusion 300

QSD / Watterfall headphone ASUS Strix Fusion 300

Delta QSD / Delta Watterfall headphone ASUS Strix Fusion 300

The ASUS Strix Fusion 300 test was conducted as a black box test, without regard to cost and prestige. This is the basic principle for making measurements, measurement reports and developing tests in RAA.
I believe that it is important to do not make an absolute assessment of the device, but an aggregate assessment when working together with a source amplifier and taking into account external factors. This allows you to effectively reveal the potential of the entire set of devices or to make a more optimal choice of components.