Figure 3.1 depicts the general reverberation scenario for three sources and one listener (two ears). In general, the filters should also include filtering by the pinnae of the ears, so that each echo can be perceived as coming from the correct angle of arrival in 3D space; in other words, at least some reverberant reflections should be spatialized so that they appear to come from their natural directions in 3D space [#!Kendall84!#]. Again, the filters change if anything changes in the listening space, including source or listener position. The artificial reverberation problem is then to implement some approximation of the system in Fig.3.1.

In the frequency domain, it is convenient to express the inputoutput relationship in terms of the transferfunction matrix:
Denoting the impulse response of the filter from source to ear by , the two output signals in Fig.3.1 are computed by six convolutions:
where denotes the order of FIR filter . Since many of the filter coefficients are zero (at least for small ), it is more efficient to implement them as tapped delay lines (§2.5) so that the inner sum becomes sparse. For greater accuracy, each tap may include a lowpass filter which models air absorption [#!MoorerReverb79!#] and/or spherical spreading loss (see §2.3). For large , the impulse responses are not sparse, and we must either implement very expensive FIR filters, or approximate the tail of the impulse response using less expensive IIR filters; this subject``late reverberation'' approximationis taken up in §3.4.