Description: 1. The original signal A, subject to noise pollution through the channel after the signal q, and then through the equalizer, respectively ZF (MMSE) receive the signal U, the distribution of U can draw Figure 2. Were applied LMS, SATO, CMA algorithm to be U. (Including the best delay, mean square error terms) all the results are displayed in graphic form.
- [Basic_of_CMA] - CMA briefings, which applies to Channel
- [FSEDFE] - Adapt a FSE+DFE combination for square M
- [eyeprog] - Programming with MATLAB the adaptive tim
- [cma] - These M-files generate received T/-space
- [cma] - cma constant modulus adaptive algorithm,
- [mcmadd] - mcma vs dd blind equalization comparatio
- [iqa] - IQA blind equalization method
- [FadingChannel] - hi this is ofdm and its fading model
- [ForcingZero_LMS_EQ] - Forcing Zero/LMS in equilibria simulatio
- [CMA] - This paper introduces the algorithms and
File list (Check if you may need any files):
mimo.mat
ZF_MMSE_LMS_SATO_CMA
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