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If the real and imaginary parts of ${H}^{f}()$ are given by
A linear-phase phase filter is one for which the continuous phase $()$ is linear. $${H}^{f}()=A()e^{i()}$$ with $$()=M+B$$ We assume in the following that the impulse response $h(n)$ is real-valued.
If a discrete-time cosine signal $${x}_{1}(n)=\cos ({}_{1}n+{}_{1})$$ is processed through a discrete-time filter with frequency response $${H}^{f}()=A()e^{i()}$$ then the output signal is given by $${y}_{1}(n)=A({}_{1})\cos ({}_{1}n+{}_{1}+({}_{1}))$$ or $${y}_{1}(n)=A({}_{1})\cos ({}_{1}(n+\frac{({}_{1})}{{}_{1}})+{}_{1})$$ The LTI system has the effect of scaling the cosine signal and delaying it by $\frac{({}_{1})}{{}_{1}}$ .
When does the system delay cosine signals with different frequencies by the same amount?
The function $\frac{()}{}$ is called the phase delay . A linear phase filter therefore has constant phase delay.
Consider a discrete-time filter described by the difference equation
Notice that the delay is fractional --- the discrete-time samples are not exactly reproduced in the output.The fractional delay can be interpreted in this case as a delay of the underlying continuous-time cosine signal.
Consider the same system given on the previous slide, but let us change the frequency of the cosine signal.
When ${}_{2}=0.47\pi $ , then the delay is $\frac{-({}_{2})}{{}_{2}}=0.14$ .
From the previous slides, we see that a filter will delay different frequency components of a signal by the same amountif the filter has linear phase (constant phase delay).
In addition, when a narrow band signal (as in AM modulation) goes through a filter, the envelop will be delayed by the group delay or envelop delay of the filter. The amount by which the envelop is delayed isindependent of the carrier frequency only if the filter has linear phase.
Also, in applications like image processing, filters with non-linear phase can introduce artifacts that are visuallyannoying.
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