13 Facts About Digital filters

When used in the context of real-time analog systems, digital filters sometimes have problematic latency due to the associated analog-to-digital and digital-to-analog conversions and anti-aliasing filters, or due to other delays in their implementation.

Digital filters are commonplace and an essential element of everyday electronics such as radios, cellphones, and AV receivers.

Digital filters filter is characterized by its transfer function, or equivalently, its difference equation.

Typically, one characterizes Digital filters by calculating how they will respond to a simple input such as an impulse.

Digital filters are typically considered in two categories: infinite impulse response and finite impulse response .

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Digital filters are not subject to the component non-linearities that greatly complicate the design of analog filters.

Digital filters can be used in the design of finite impulse response filters.

Equivalent analog Digital filters are often more complicated, as these require delay elements.

However, digital filters do introduce a higher fundamental latency to the system.

Analog Digital filters require substantially less power and are therefore the only solution when power requirements are tight.

Some digital filters are based on the fast Fourier transform, a mathematical algorithm that quickly extracts the frequency spectrum of a signal, allowing the spectrum to be manipulated before converting the modified spectrum back into a time-series signal with an inverse FFT operation.

Alternatively nonlinear Digital filters can be designed, including energy transfer Digital filters, which allow the user to move energy in a designed way so that unwanted noise or effects can be moved to new frequency bands either lower or higher in frequency, spread over a range of frequencies, split, or focused.

Digital energy transfer filters are relatively easy to design and to implement and exploit nonlinear dynamics.