Title :
LLL Algorithm and the Optimal Finite Wordlength FIR Design
Author_Institution :
Faculty of Computer and Information Science, University of Ljubljana, Ljubljana, Slovenia
Abstract :
In practical finite-impulse-response (FIR) digital filter applications, it is often necessary to represent the filter coefficients with a finite number of bits. The finite wordlength restriction increases the filter deviation. This increase can be reduced substantially if the optimal finite wordlength coefficients are used. The time needed to compute these coefficients is greatly reduced with the help of a lower bound on the deviation increase. Derivation of an improved lower bound that uses the well-known LLL algorithm is presented in this correspondence.
Keywords :
"Finite impulse response filter","Approximation error","Equations","Algorithm design and analysis","Chebyshev approximation","Lattices"
Journal_Title :
IEEE Transactions on Signal Processing
DOI :
10.1109/TSP.2011.2177974