Frequency
Figure 4.3: The output in frequency domain after using FIR filter
The accuracy of stochastic FIR filter is continued evaluating in terms
of filter order. In this work, the filter order is varied from 3 to 6.
In addition, to generalize the result, the cut–off frequency is also
changed with different values 0.2, 0.4, 0.6. As
shown in Table 4.1, the error
increases when the filter order increases, i.e, need more filter
cofficients. This fact can be explained due to the considerable
correlation when increasing the circuit size. Through stochastic FIR
filter simulation, the problems raised is how to maintain the covariance
across multiple operations? Because there are two level of gate that
input sequences must pass through, variation introduced by SC operations
is important. The future applications can be more complex. In addition,
the number of SNGs employed in this stochastic FIR filter can be
prolematic when considering hardware cost. Even thouth there are lots of
raised issues, the first sucess on digital filter equally promises the
cappacity of SC applied for more applications in signal processing.