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5.9 Sensitivity and Noise                                            217

            The round-off noise variance at the output of the filter is







                                         2
            We get, using Holders inequality , for p = 2






        and Equation (5.18)







            This is a lower bound of the noise variance for a filter scaled for wide-band
        input signals. Using the fact that




        and n = 2, we get another lower bound that is valid instead for Loo-norm
        scaling:







            This lower bound on the round-off noise corresponds to scaling for narrow-
        band signals.
            These two bounds are important, since they show that a structure with high
        sensitivity will always have high round-off noise and requires a longer data word
        length. It is sometimes argued that high-sensitivity structures can be imple-
        mented using elaborate schemes for selecting the coefficients such that the fre-
        quency specification is met. However, in such cases a penalty is paid in terms of
        increased data word length.
            The importance of low sensitivity to coefficient errors and low round-off noise
        can be appreciated by considering the cost and execution time of multipliers,
        which are essentially proportional to the sum of coefficients and data word
        lengths. Using a low-sensitivity structure, short coefficients and a short data word
        length can be employed. Low-sensitivity structures also tend to use the available
        signal range efficiently. Therefore, we stress that low-sensitivity structures should
        always be used for high-performance digital filters.
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