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Low-complexity minimax design of digital FIR filters utilising linear programming in BI-DAC

Low-complexity minimax design of digital FIR filters utilising linear programming in BI-DAC

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This Letter presented a new-order optimal method for lowering the computational complexity of the traditional minimax design of digital finite impulse response (FIR) filter utilising linear programming (LP) in bandwidth interleaving digital-to-analogue converter (BI-DAC). In this order optimal method, a one-by-one increasing method was presented to optimise all of digital FIR subfilters' orders in BI-DAC so that these digital FIR subfilters' orders could be optimised to simultaneously satisfy all of given upper bounds of the distortion and aliasing errors. A design example was used to verify the effectiveness and low computational complexity of the presented low-complexity minimax design utilising LP, and the simulation results were well-pleasing.

http://iet.metastore.ingenta.com/content/journals/10.1049/el.2018.7660
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