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In the Type 1 case [link] , [link] ,
and therefore
In the Type 2 case [link] ,
and hence
In some applications. it is desirable to have filter banks with linear-phase filters [link] . The linear-phase constraint (like the modulation constraint studied earlier) reduces the numberof free parameters in the design of a filter bank. Unitary linear phase filter banks have been studied recently [link] , [link] . In this section we develop algebraic characterizations of certain typesof linear filter banks that can be used as a starting point for designing such filter banks.
In this section, we assume that the desired frequency responses are as in [link] . For simplicity we also assume that the number of channels, , is an even integer and that the filters are FIR. It should be possible to extend the results that follow to the case when is an odd integer in a straightforward manner.
Consider an -channel FIR filter bank with filters whose passbands approximate ideal filters.Several transformations relate the ideal filter responses. We have already seen one example where all the ideal filters are obtained bymodulation of a prototype filter. We now look at other types of transformations that relate the filters. Specifically,the ideal frequency response of can be obtained by shifting the response of the by . This either corresponds to the restriction that
or to the restriction that
where is the filter length and for polynomial , denotes its reflection polynomial (i.e. the polynomial with coefficients in the reversedorder). The former will be called pairwise-shift (or PS) symmetry (it is also known as pairwise-mirror image symmetry [link] ) , while the latter will be called pairwise-conjugated-shift (or PCS) symmetry (also known as pairwise-symmetry [link] ). Both these symmetries relate pairs offilters in the filter bank. Another type of symmetry occurs when the filters themselves are symmetric or linear-phase. The only type of linear-phase symmetry we will consider isof the form
where the filters are all of fixed length , and the symmetry is about . For an -channel linear-phase filter bank (with an even integer), filters each are even-symmetric and odd-symmetric respectively [link] .
We now look at the structural restrictions on , the polyphase component matrix of the analysis bank that these three types of symmetries impose.Let denote the exchange matrix with ones on the antidiagonal. Postmultiplying a matrix by is equivalent to reversing the order of the columns of , and premultiplying is equivalent to reversing the order of the rows of . Let denote the sign-alternating matrix, the diagonal matrix of alternating 's. Postmultiplying by , alternates the signs of the columns of , while premultiplying alternates the signs of the rows of . The polyphase components of are related to the polyphase components of by reflection and reversal of the ordering of the components. Indeed, if is of length , and , then,
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