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Optimum precompensation filters for IQ modulation systems

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2 Author(s)
Tuthill, J. ; Cooperative Res. Centre, Curtin Univ. of Technol., Perth, WA, Australia ; Cantoni, Antonio

We present a technique for digitally precompensating for shortcomings in signal reconstruction filters in an IQ modulation system. Optimum digital precompensation filters are found using least squares (LS) techniques. The optimization problem is formulated in the frequency-domain, and the optimum LS solution is characterized using an eigenanalysis approach

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Communications, IEEE Transactions on  (Volume:47 ,  Issue: 10 )