What is polyphase implementation filter?

Due to the nature of the decimation and interpolation processes, polyphase filter structures can be developed to efficiently implement the decimation and interpolation filters (using fewer number of multiplications and additions). Upsampling by a factor of 2 and a four-tap interpolation filter.

What are the advantages of polyphase decomposition?

1. The polyphase filters Ei(z) have a fewer number of filter coefficients in comparison to the system function H(z). 2. They are more efficient from a resource utilization standpoint because the filter structure is not inactive at any time instant.

How is polyphase used in interpolation filters?

Polyphase for Interpolation Filters Observe: the lter is applied to a signal at a high rate, even though many samples are zero when coming out of the expander. Using the Type-2 polyphase decomposition: H(z) = z1R 0(z2) + R

Which is the parallel form of the IIR filter?

Figure 3: (a) Parallel form of IIR filter, (b) each branch is a cascade of elementary filters 3 In this parallel form the filter on each branch is successively delayed by one more than the previous branch. Furthermore the filters in each branch are constrained to be -band.

How are second order biquadratic filters used in IIR?

Typically second order biquadratic sections (SOS) are chosen for the low order filters and implemented using the Direct Form 1 structure shown in Figure 2. Each SOS requires 4 multiplies, 3 adds and some rounding to reduce the bit width for the next filter in the cascade.

Can a IIR Cascade take advantage of zero inputs?

The IIR filter cascade cannot take advantage of the zero inputs to reduce computation because of feedback paths in each SOS. IIR Filters for polyphase decomposition In this paper we start with an architecture that maps to a polyphase decomposition and show how this leads to very low complexity filters.