10.6    COMBINED PIPELINING AND PARALLEL PROCESSING FOR IIR FILTERS

Pipelining and parallel processing can also be combined for IIR filters to achieve a speedup in sample rate by a factor L × M, where L denotes the levels of block processing and M denotes stages of pipelining, or to achieve power reduction at the same speed.

Example 10.6.1 Consider the 1st-order IIR filter with transfer function

image

Derive the filter structure with 4-level pipelining and 3-level block processing, i.e., M = 4 and L = 3.

Because the filter order is 1, only 1 loop update operation is required. The other 3 outputs can be computed incrementally. Since pipelining level M =4, the loop must contain 4 delay elements, as shown in Fig. 10.21. Since the block

image

Fig. 10.21    Loop update for the pipelined block system.

size L= 3, each delay element represents a block delay, which corresponds to 3 sample delays. Therefore, y(3k + 12) needs to be expressed in terms of y(3k) and inputs (see Fig. 10.21). This can be done using look-ahead as follows:

image

Substituting n = 3k + 12, we get:

image

in which

The parallel-pipelined filter ...

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