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Why spectral transformation is required

Short answer

Spectral transformation converts a prototype low-pass filter into other types (low-pass, high-pass, band-pass, band-stop) or adjusts cutoff frequency. It lets a single normalized design derive any filter via simple s-domain or z-domain mappings, saving effort and enabling high-pass/band-stop designs without aliasing in impulse-invariance methods.

Why is spectral transformation required?

Spectral (frequency) transformation converts a filter of one type or cut-off into another. It is required because:

  • One prototype, many filters. Design theory (Butterworth, Chebyshev) is worked out for a low-pass prototype with a normalised cut-off. Transformations turn this into a low-pass filter with another cut-off, or a high-pass, band-pass or band-stop filter, so no separate design procedure is needed for each type.
  • Saves design effort. An existing, well-tested low-pass design can be reused by changing the cut-off or type.
  • Simple, systematic method. In the analog domain we replace s; in the digital domain we replace z⁻¹ by an all-pass function, for example z⁻¹ → −(z⁻¹ + α)/(1 + αz⁻¹) for low-pass to high-pass.
  • Needed with impulse invariance. High-pass and band-stop analog filters are not band-limited, so impulse invariance would alias them badly. Instead, a digital low-pass filter is designed first and then converted to the required type by a digital-domain transformation.

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