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Heavy Load: How Loudspeakers Torture Amplifiers:
So is this the real Otala effect we are looking at here? Do some speakers present more difficult loads than their impedance measurements suggest, not because of a failure of conventional measurement but simply because the data are not interpreted properly? To be certain about this, we must do what Otala and his coworkers failed to do: put the idea to the test using representative music signals. Eric Benjamin performed this crucial reality check and concluded that the dissipation behavior depicted in figs.5–10 is relevant to music signals. Let's see if we achieve a similar result using a method different from Benjamin's that has certain advantages. Once again, we can't expect to just stumble on the program material that is most effective at promoting extreme behavior with each speaker, but we can hope to form a good idea of whether or not EPDR is a significant factor in practice.
Doing it in silicon
How we go about this simulation is to design a digital filter that will convert the signal voltage across the speaker into the signal current through it, so that we generate the same data as we would by measurement. To design this filter, we first have to calculate the inverse of the speaker's complex impedance—ie, its admittance—because voltage times admittance gives us the current. This frequency-dependent, complex admittance can then be converted into an FIR digital filter by applying the inverse fast Fourier transform (IFFT) to take us from the frequency domain to the time domain. The resulting filter is then applied, by convolution, to the input voltage (represented by the sample values in a WAV file) to generate the current waveform. The output-device dissipation can then be calculated sample by sample, and the result analyzed to see whether it is as high on music signals as our analysis of the impedance data suggests. This process isn't quite so straightforward as just described because the sampling rate used to obtain the impedance data will generally not be the same as that of the WAV files we wish to process, so an adjustment must be made. In the case of the data used here—MLSSA impedance data measured using DRA Labs' supplied high-resolution setup script—the sampling rate is 65.57kHz and the output file contains 9995 data points from 2Hz to 20kHz. In order to use this to design an admittance filter, I extracted the first 8192 data points from the modulus and phase files, interpolated the 0Hz modulus, set the 0Hz phase to 0°, and then used these 8193 points to generate a 16,384-point filter. (We're not concerned with filter efficiency here, only accuracy.) To give the correct result, this filter was then applied to WAV files that had first been downsampled to (65.57kHz ˜ 2 =) 32,785Hz. As a result, the maximum signal frequency in the simulation is not 20kHz, as in the data, but 16.4kHz. It's no accident that I've chosen as examples here three speakers whose EPDR behavior is significantly different. The JBL's EPDR dips to its minimum at low frequency; the B&W has prominent dips at both low and midrange frequencies, associated with bass and midrange system resonances, with a third, shallower dip associated with the tweeter resonance; while the Final's EPDR bottoms out at very high frequency, but also has a significant dip around 300Hz. Bearing in mind the typical spectrum of music, we might reasonably expect the B&W to present the most challenging amplifier load in practice, followed perhaps by the Final and then the JBL. Four diverse music excerpts were chosen for the analysis, not entirely at random. I didn't have the luxury, as Eric Benjamin did, of assessing a large number of CDs and cherry-picking, so I selected source material with an eye to the EPDR results, hoping to choose recordings that would result in something like worst-case dissipation. Three were extracts from single-instrument recordings on the European Broadcasting Union's SQAM (sound quality assessment material) test disc, of flute, triangle, and soprano voice. The flute and soprano pieces have strong spectral content around 700Hz, which I hoped would probe the B&W 802D's midrange EPDR dip, while the triangle item has energetic HF to provoke the Final 600i. The fourth item—track 3 of Brian Bromberg's Wood (A440 Music 4001), a string-bass solo take on Lennon and McCartney's "Come Together"—was chosen for having strong midbass fundamentals where the 802D and JBL 1400 Array both have their lowest EPDRs. Table 1 lists the highest device dissipations recorded for each channel of each track on each speaker, taking the worst-case dissipation into an 8 ohm resistance as the baseline. The second figure in brackets in each case is the equivalent EPDR. All the values fall within the ranges shown in figs. 5–7 and 8–10, and mostly they follow the expected pattern, the one surprise being the high values recorded for the Brian Bromberg track and the Final 600i. Taken together, these figures confirm that the orders of EPDR identified in figs. 8–10 are of real, practical significance when playing music signals: speakers really can make these high demands of amplifier output-device dissipation in normal use. If the amplifier's protection is invoked as a result, then its output will be clipped, even though the speaker's voltage and current demands may be within its capability.
How frequently do these extreme dissipation events occur? Some insight into this is given in Table 2, which shows the proportion of time that the dissipation factor fell within particular bounds for the B&W 802D on the left channel of the Bromberg track. For 5% of the time the speaker's EPDR is less than 4 ohms, and for 0.48% of the time below 2.7 ohms. So this is clearly a potentially significant effect with difficult source material. It's also obvious from these results why the B&W 802D has a reputation for being an amplifier ball-breaker.
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