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As requested, Klippel NFS spin data of our Sierra Ribbon Tower.
These measurements show exceptional directivity, combined with very wide horizontal dispersion.
RTCEA2034.jpg
RTEstimated In-Room Response.jpg
RTContour Plot.jpg
Thanks Dave, looks great! It’s also nice to sensitivity high, too.
Looks excellent as expected. That's why I own them . I ever so slightly wish there was a problem, so we can get an upgrade kit lol. Thanks Dave! Love it!
TV: LG 65C8 - Receiver: Emotiva XMC-2 (9.1.4) - Blu-ray: UB820, x800m2 - Music: Sdtrans384 - Amp: Parasound A23 & A52+, Outlaw 7075 - LCR Speakers: Ascend Towers Raal ELX & Horizon RAAL ELX - Surround: (10) BG Radia PD-6i - Sub: Rythmik F18 - Power Cable: PS AC5, PS SC, Venom v14 - Speaker Cable: Furez - Interconnects: Neotech, Mogami, Pure Silver - Probe: Display Pro & i1 Pro2 - Software: Colourspace HTL & Rpi4 - Bias - MediaLight - Remote: Harmony Elite
Comment on the estimated in-room response curve: if I draw a straight line through part of that curve, from 200 Hz to 13 kHz, I find the slope of the line is -0.75 dB per octave. That is the same as the "red line" drawn over the in-room response curve in the ASR review of the Horizon. (I also found that -0.75 dB per octave is the median value of the slope for speakers that tested well in ASR.)
I assume that, to calculate an in-room response curve, Klippel needs to make some assumptions about the room acoustics. In other words, the curve represents a simulation of a typical room, and your room may vary from that.
PIR (predicted/estimated in-room response) has nothing to do with Klippel or the equipment used, although the Klippel NFS will generate far more accurate results compared to any other measurement device.
PIR is part of the CEA-2034 standard, it makes no assumptions regarding a room and that is the point. It is purely based on anechoic frequency response measurements combined with the speaker's directivity. It is an excellent way to compare differences one might expect to hear between one speaker and another when listening in a room.
PIR is a weighted average algorithm consisting of 44% soundpower, 44% early reflections, and 12% listening window.
Thanks for that explanation of Predicted In-Room Response. Good to know it isn't just a Klippel thing and is defined by a written standard (CEA = Consumer Electronics Association).
"PIR is a weighted average algorithm consisting of 44% soundpower, 44% early reflections, and 12% listening window." I'm a little surprised that the direct sound from the speakers, or "listening window", contributes only 12% to the weighted average. Is this based on research showing that the early reflections + late reflections (soundpower) dominate over the direct sound for a typical listener position in a typical room?