PROJECT TITLE :
A Lattice Basis Reduction Approach for the Design of Finite Wordlength FIR Filters - 2018
Many applications of finite impulse response (FIR) digital filters impose strict format constraints on the filter coefficients. Such necessities increase the complexity of determining optimal styles for the matter at hand. We have a tendency to introduce a fast and economical methodology, based on the computation of good nodes for polynomial interpolation and Euclidean lattice basis reduction. Experiments show that it returns quasi-optimal finite wordlength FIR filters; compared to previous approaches it also scales remarkably well (length a hundred twenty five filters are treated in <; 9 s). It also proves useful for accelerating the determination of optimal finite wordlength FIR filters.
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