Description: study for the adaptive equalizer LMS algorithm performance, Data Sources have zero mean and unit variance from the-1 and a symbol of the Bernoulli sequence (I ( n)). Data Source after the channel can be raised-cosine pulse response simulation.
- [myEqualizer] - a complex field of adaptive equalizer Bl
- [Basic_of_CMA] - CMA briefings, which applies to Channel
- [matlab_filter] - using adaptive LMS algorithm to achieve
- [lms64qam] - in Matlab, using RLS algorithm applies t
- [exa011002] - for convolution and two sequences of cro
- [FIRRayleigh] - using MATLAB under the shaping filter me
- [syxgjxt] - the best base-band transmission system s
- [LMS(New).Rar] - use Simulink LMS algorithm for multi-pat
- [LMS-MATLAB] - Introduction based on the least mean squ
- [LMS] - Receiver adaptive equalizer of LMS algor
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