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System Simulator > Least Mean Square Equalizer, Complex (CLMSE)
Notes1. This model updates the filter coefficients of the equalizer based on the input signal and the error signal (i.e., the difference between the output of the equalizer and the actual desired output). The update is based on minimizing the mean square error. 2. Let X(n) and h(n) denote the complex input signal
vector and the vector of the complex filter coefficients respectively
at time instant n. Each vector is assumed to be of length NTAPS (i.e.,
number of filter taps). The update of the filter coefficients is done
according to 3. The complex output of the equalizer at instant
n + 1 is given by 4. The following initial conditions are always assumed: Netlist FormCLMSE:NAME n1 n2 n3 n4 n5 n6 NTAPS=val DELTA=val [RIN1=val] [RIN2=val] [RIN3=val] [RIN4=val] [ROUT1=val] [ROUT2=val] Netlist ExampleCLMSE:1 1 2 3 4 5 6 NTAPS=6 DELTA=.005 References1. G. Proakis, Digital Communications, McGraw-Hill, 1989. 2. G. Proakis and D. G. Manolakis, Digital Signal Processing, Macmillan, 1988. HFSS视频教程 ADS视频教程 CST视频教程 Ansoft Designer 中文教程 |
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