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Training adaptive linear filters

阅读:160发布:2022-10-21

专利汇可以提供Training adaptive linear filters专利检索,专利查询,专利分析的服务。并且Adaptive linear transversal filter is trained with a periodic training sequence having period exactly equal to the number of variable parameters of the filter to be set in the training mode. After training, tap coefficients may be cycled in a closed loop to a preferred position.,下面是Training adaptive linear filters专利的具体信息内容。

1. In a system including an adaptive transversal filter having a serial memory through which passes a succession of signals representing real or complex numbers, the output of said filter being the sum of the pairwise products of the signals in said filter with a set of adjustable tap coefficients, N said tap coefficients being adjustable during a training mode upon receipt of a training sequence of signals at the rate of 1/T signals/second, the adjustment being in accordance with a sequence of error values, said error values being equal to the difference between said outputs and a desiRed output sequence; that improvement comprising means for causing said training sequence and said desired output sequence both to be periodic with period N signalling intervals T.
2. The improvement of claim 1 further comprising means for cycling said tap coefficients to a preferred position after adjustment during said training mode.
3. The improvement of claim 2 wherein said means for cycling said coefficients is adapted to position the largest coefficient in the middle of the sequence of said coefficients.
4. In a method of training an adaptive transversal filter having a serial memory through which passes a succession of signals representing real or complex numbers, the output of said filter being the sum of the pairwise products of the signals in said filter with a set of adjustable tap coefficients, N said tap coefficients being adjustable during a training mode upon receipt of a training sequence of signals at the rate of 1/T signals/second, the adjustment being in accordance with a sequence of error values, said error values being equal to the difference between said outputs and a desired output sequence; that improvement comprising causing said training sequence and said desired output sequence both to be periodic with period N signalling intervals T.
5. The improvement of claim 4 further comprising cycling said tap coefficients to a preferred position after adjustment during said training mode.
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