Signal processing compensates reproduction deviations through equalization

Evidence

A related and important area of signal processing to filtering is equalization. Unlike filtering, equalization is not interested in removing frequency components but in selectively boosting, cutting or reducing them to achieve a desired effect. The process of equalization can be modeled as a process of adding or subtracting a filtered version of the signal from the signal, as shown in Figure 7.40. Adding the filtered version gives a boost to the frequencies selected by the filter, whereas subtracting the filtered output reduces the frequency component amplitudes in the filter’s frequency range. The filter can be a simple highor low-pass filter, which results in a treble or bass tone control, or it can be a band-pass filter to give a bellshaped response curve. The cutoff frequencies of the filters may be either fixed or variable depending on the implementation. In addition, the bandwidths of the band-pass filters and, less commonly, the slopes of the highand low-pass filters can be varied. — David M. Howard, Jamie Angus, Acoustics and Psychoacoustics, 2419 (#expands, via linked claim)

Categorization

• XREF: connects to: Convolution mathematically links LTI system inputs to outputs.; Equalization of linear distortion can amplify non-linear system effects; Equalization selectively boosts or cuts frequencies rather than removing them — David M. Howard, Jamie Angus, Acoustics and Psychoacoustics, 2419 (+10 more)

Broader Connections

• Equalization selectively boosts or cuts frequencies rather than removing them #expands (0.90) — David M. Howard, Jamie Angus, Acoustics and Psychoacoustics, 2419
• Equalization of linear distortion can amplify non-linear system effects #qualifies (0.82)
• Equalization adjusts sound by perceived timbre, not measured accuracy #qualifies (0.80)
• Smooth equalized room curves often signal degraded sound quality #complicates (0.80) — , Toole, Floyd E - Sound reproduction-…, 1390
• Automatic equalization can create resonances by filling interference dips. #contradicts (0.78)
• Modal decay times below 80 Hz are achievable with parametric equalization #exemplifies (0.78)
• Equalizer adjustments at specific frequencies produce predictable perceptual shifts in timbre #expands (0.75)
• Listeners reconstruct the source signal by ignoring spectral room colouration #exemplifies (0.75)
• Filtering operates as multiplication in the frequency domain, a key spectral analysis technique #expands (0.72)
• Binaural processing can be modeled by equalisation-cancellation followed by low-pass filtering #expands (0.72) — Dijk, Pim van, Physiology, Psychoacoustics and…, 3478