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Consider causal FIR filters: ; this can be realized using the following structure or in a different notation This is called the direct-form FIR filter structure .
There are no closed loops (no feedback) in this structure, so it is called a non-recursive structure . Since any FIR filter can be implemented using the direct-form, non-recursivestructure, it is always possible to implement an FIR filter non-recursively. However, it is also possible to implement anFIR filter recursively , and for some special sets of FIR filter coefficients this is much moreefficient.
where But note that This can be implemented as Instead of costing adds/output point, this comb filter costs only two adds/output.
Is this stable, and if not, how can it be made so?
IIR filters must be implemented with a recursive structure, since that's the only way a finite number of elements can generate aninfinite-length impulse response in a linear, time-invariant (LTI) system. Recursive structures have the advantages of beingable to implement IIR systems, and sometimes greater computational efficiency, but the disadvantages ofpossible instability, limit cycles, and other deletorious effects that we will study shortly.
The flow-graph-reversal theorem says that if one changes the directions of all the arrows, and inputs at theoutput and takes the output from the input of a reversed flow-graph, the new system has an identical input-outputrelationship to the original flow-graph.
The z-transform of an FIR filter can be factored into a cascade of short-length filters where the are the zeros of this polynomial. Since the coefficients of the polynomial are usually real, the rootsare usually complex-conjugate pairs, so we generally combine into one quadratic (length-2) section with real coefficients The overall filter can then be implemented in a cascade structure. This is occasionally done in FIR filter implementation when one or more of the short-length filters can beimplemented efficiently.
It is also possible to implement FIR filters in a lattice structure: this is sometimes used in adaptive filtering
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