2. Finite impulse response filters
The output value at time n ( ) is calculated from a finite number of previous input samples:
As the number of terms is finite, so is their sum: a transversal filter is therefore always stable. This quality is essential and allows us to build very complex filters, such as the adaptive filters we'll briefly...
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Finite impulse response filters
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