Distributed optimal component fusion deconvolution filtering
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资源说明:Using the state and white noise filters, a distributed optimal fusion deconvolution filter weighted by scalars is given for every signal component of discrete multichannel autoregressive moving average (ARMA) signal measured by multiple sensors. Under scalar weighting condition, it is optimal in the linear minimum variance (LMV) sense. Every signal component is estimated by scalar weighting fusion from local filters of the same component. The fusion filter of every signal component has higher pr
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