Farrow Filter Simulation for Fractional Delay Adjustment
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In this paper, we present a simulation of Farrow filters for fractional delay adjustment. We implemented three filter configurations: 4th-order, 8th-order, and 16th-order Farrow filters. The coefficient generation is handled through MATLAB M-files that compute polynomial-based filter coefficients using Lagrange interpolation algorithms. The Simulink MDL file models the post-filtering deviation estimation process, incorporating adaptive parameter tuning and stability checks. Our implementation includes detailed parameter optimization and performance evaluation metrics to ensure filter accuracy and stability. We employed additional visualization tools and data analysis techniques to effectively demonstrate results and observe performance trends. These enhancements provide clearer insights into our research methodology and outcomes, particularly highlighting the trade-offs between computational complexity and delay resolution in different filter orders.
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