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of the matched filter with the impulse response . Given the pulse shape and the assumption that the noise has flat power spectral density, it follows that
where is the delay used in the matched filter. Because is zero when is negative and when , is zero for and . Accordingly, the limits on the integration can be converted to
This is the cross-correlation of with as defined in [link] .
When is not a constant, [link] becomes
To use the Schwarz inequality [link] , associate with and with . Then [link] can be replaced by
and equality occurs when ; that is,
When the noise power spectral density is not flat, it shapes the matched filter.Recall that the power spectral density of the noise can be computed from its autocorrelation.
Let the pulse shape be a
-wide Hamming blip.
Use the code in
matchfilt.m
to find the ratio
of the power in the downsampled
to that in
the downsampled
when:
beta=
0, 0.1, 0.5,When is the ratio largest?
Let the pulse shape be a SRRC with
beta=0.25
.
Use the code in
matchfilt.m
to find the ratio
of the power in the downsampled
to that in
the downsampled
when
beta=
0, 0.1, 0.25, 0.5,When is the ratio largest?
Consider the baseband communication system in [link] . The symbol period is an integer multiple of the sample period , i.e. . The message sequence is nonzero only each th , i.e. where the integer is within and is the “on-sample” baud timing offset at the transmitter.
While focusing separately on the pulse shaping and the receive filtering makes sense pedagogically,the two are intimately tied together in the communication system. This section notes thatit is not really the pulse shape that should be Nyquist, but rather the convolution ofthe pulse shape with the receive filter.
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