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Chapter Ten. Sample Rate Conversion > Sample Rate Conversion with IFIR Filters

10.13. Sample Rate Conversion with IFIR Filters

The interpolated FIR (IFIR) filters that we introduced in Chapter 7 are particularly useful in sample rate conversion applications because they’re computationally efficient, and their signal data storage requirements can be reduced in such applications.

To see why this is so, we refer to Figure 10–28(a) showing a standard IFIR filter with its cascaded shaping and image-reject subfilters followed by downsampling by integer M (discard all but every Mth sample). The high-order Hsh(z) shaping filter is an upsampled (zero-stuffed) by M version of an Hp(z) prototype lowpass filter as discussed in Chapter 7. Because the Hsh(z) shaping subfilter and the Hir(z) image-reject subfilter are linear and time invariant, we can swap their order as depicted in Figure 10–28(b). Now comes the good part.


  

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