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Bandwidth interleaving digital-to-analog converter (BI-DAC) is a new method for breaking through the bandwidth restriction of the DAC to generate a wideband signal. However, there are some errors in the BI-DAC system such as the aliasing errors caused by the non-ideal performance of the analog filters. To achieve the aliasing errors cancellation, this paper studied the minimax design of digital finite impulse response (FIR) filters. The design goal was to meet a given desired spurious free dynamic range (SFDR) of the BI-DAC system. The problem of designing the digital FIR filters was formulated as a linear programming (LP) problem which could be used to find the global optimal solution of the coefficients of the digital FIR filters. Additionally, this proposed design method performance analysis consist of the computational complexity was derived. Finally, all the proposed designs are verified by both theoretical analysis and numerical simulations, and satisfactory simulation results were achieved.

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